Ethics in AI research papers and articles

By: Kathy Baxter
Photo by Annie Spratt on Unsplash

Last updated: Aug 10, 2020

This is my obsessively curated list of research papers and articles on ethics in AI that I have been collecting over the years. Let me know if I am missing your favorites.



Discovering and Categorising Language Biases in Reddit∗ (8/6/20)

What are you optimizing for? Aligning Recommender Systems with Human Values (2020)

A shallow defence of a technocracy of artificial intelligence: Examining the political harms of algorithmic governance in the domain of government (Aug 2020)

Machine Learning Explainability for External Stakeholders (7/10/20)

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList (July 2020)

Social Bias Frames: Reasoning about Social and Power Implications of Language (July 2020)

Don’t ask if artificial intelligence is good or fair, ask how it shifts power (7/7/20)

Speech Recognition Tech Is Yet Another Example of Bias (7/5/20)

Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis? (7/5/20)

The Ethics of Algorithms: Key Problems and Solutions (July 2020)

Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms (6/17/20)

Mind the app -- Considerations on the ethical risks of COVID-19 apps (6/13/20)

Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis (6/9/20)

Fairness, Equality, and Power in Algorithmic Decision-Making (preprint)

Language (Technology) is Power: A Critical Survey of "Bias" in NLP (5/28/20)

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation (5/3/20)

Social Biases in NLP Models as Barriers for Persons with Disabilities (5/2/20)

Multi-Dimensional Gender Bias Classification (5/1/20)

Politeness Transfer: A Tag and Generate Approach (5/1/20)

Ethics and governance for digital disease surveillance (May 2020)

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding (4/30/20)

The Politics of Adversarial Machine Learning (4/26/20)

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI (4/25/20)

Learning to Diversify from Human Judgments: Research Directions and Open Challenges (4/25/20)

A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition (4/25/20)

Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning (4/25/20)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims (4/15/20)

Research Collection: Research Supporting Responsible AI (4/13/20)

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal (4/7/20)

Measuring the predictability of life outcomes with a scientific mass collaboration (3/30/20)

AI in the headlines: the portrayal of the ethical issues of artificial intelligence in the media (3/29/20)

Racial disparities in automated speech recognition (3/23/20)

What Do We Teach When We Teach Tech Ethics? A Syllabi Analysis (3/11/20)

No computation without representation: Avoiding data and algorithm biases through diversity (2/26/20)

Learning the difference that makes a difference with counterfactually-augment data (2/14/20)

The Ethics of AI Ethics: An Evaluation of Guidelines (2/1/20)

The Explanation Game: A Formal Framework for Interpretable Machine Learning (1/17/20)

Robot Rights? Let's Talk about Human Welfare Instead (1/14/20)

Algorithmic Fairness from a Non-ideal Perspective (1/9/20)

Reducing sentiment polarity for demographic attributes in word embeddings using adversarial learning (Jan 2020)

“The Human Body is a Black Box”: Supporting Clinical Decision-Making with Deep Learning (Jan 2020)

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (Jan 2020)

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing (Jan 2020)

Fairness and utilization in allocating resources with uncertain demand (Jan 2019)

Government, NGO, and expert publications

BMM Privacy Bot: Tool to anonymize BLM protesters

Report: Bridging AI’s trust gaps: Aligning policymakers and companies (The Future Society) (7/22/20)

Assessment List for Trustworthy Artificial Intelligence (ALTAI) for self-assessment (7/17/20)

Facebook’s Civil Rights Audit – Final Report (7/8/20)

The Impact of Artificial Intelligence on Human Rights, Democracy and the Rule of Law: Ad Hoc Committee on Artificial Intelligence (6/24/20)

A call for a critical look at the metrics for success in the evaluation of AI (6/17/20)

When AI Writes Your Email (5/6/20)


Is AI trustworthy enough to help us fight COVID-19? (5/1/20)

How to create a trustworthy COVID-19 tracking technology (4/20/20)

Statement Regarding the Ethical Implementation of Artificial Intelligence Systems (AIS) for Addressing the COVID-19 Pandemic (April 2020)

Interpretability [Cloudera Fast Foward Report] (Apr 2020)

FTC: Using Artificial Intelligence and Algorithms (4/8/20)

From Principles to Practice An interdisciplinary framework to operationalise AI ethics (4/2/20)

The DoD AI Ethical Principles: Shifting From Principles to Practice (4/1/20)

AI is transforming society. Here’s what we can do to make sure it prioritizes human needs. (3/27/20)

To Prevent Algorithmic Bias, Legal and Technical Definitions around Algorithmic Fairness Must Align (3/23/20)

Digital Commerce, AI, and Constraining Consumer Choice (3/19/20)

Mapping coronavirus, responsibly (2/25/20)

ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems (2/5/20)

The measure and mismeasure of fairness: a critical review of fair machine learning (2/3/20)

Bringing Facial Recognition Systems To Light (Feb 2020)

IBM: Precision Regulation for Artificial Intelligence (1/21/20)

Black-Boxed Politics:Opacity is a Choice in AI Systems (1/17/20)

What do we teach when we teach tech & AI ethics? (1/17/20)

How businesses can create an ethical culture in the age of tech (1/7/20)

Artificial Intelligence Principles For Vulnerable Populations in Humanitarian Contexts (Jan 2020)

Excavating AI: The Politics of Images in Machine Learning Training Sets (Jan 2020)

Learning from the past to create Responsible AI (evergreen)

Researchers quantify bias in Reddit content sometimes used to train AI (8/7/20)

Hypotenuse AI wants to take the strain out of copywriting for e-commerce (8/7/20)

Can language models learn morality? (8/7/20)

Here are a few ways GPT3 can go wrong (8/7/20)

Researchers discover evidence of gender bias in major computer vision APIs (8/6/20)

Researchers say ‘The Whiteness of AI’ in pop culture erases people of color (8/6/20)

Police built an AI to predict violent crime. It was seriously flawed (8/6/20)

Explainable AI: A guide for making black box machine learning models explainable (8/6/20)

How a Popular Medical Device Encodes Racial Bias (8/5/20)

Evil AI: These are the 20 most dangerous crimes that artificial intelligence will create (8/5/20)

Can Artificial Intelligence Help Increase Diversity in IT? (8/5/20)

Meet the computer scientist and activist who got Big Tech to stand down (8/4/20)

New Zealand Has a Radical Idea for Fighting Algorithmic Bias: Transparency (8/4/20)

Cloak your photos with this AI privacy tool to fool facial recognition (8/4/20)

Home Office to scrap 'racist algorithm' for UK visa applicants (8/4/20)

The problem of underrepresented languages snowballs from data sets to NLP models (8/4/20)

On Diversity, Silicon Valley Failed to Think Different (8/3/20)

Why artificial intelligence models are often biased, according to the Google exec who heads Alphabet's internal tech incubator Jigsaw (8/3/20)

AI is struggling to adjust to 2020 (8/2/20)

The 6 unholy AI systems thou shalt not develop (7/31/20)

The problems AI has today go back centuries (7/31/20)

Researchers examine the ethical implications of AI in surgical settings (7/31/20)

AI-powered tool aims to help reduce bias and racially charged language on websites (7/30/20)


Over Half of Americans Do Not Trust Companies to Ethically Collect, Use or Sell Personal Data (7/29/20)

Google releases Model Card Toolkit to promote AI model transparency (7/29/20)

Service that uses AI to identify gender based on names looks incredibly biased (7/29/20)

Rite Aid deployed facial recognition systems in hundreds of U.S. stores (7/28/20)

Even Google CEO Sundar Pichai agrees that it is imperative to embed ethics into AI (7/27/20)

Researchers find evidence of bias in facial expression data sets (7/25/20)

Here’s why AI didn’t save us from COVID-19 (7/24/20)

Four Steps for Drafting an Ethical Data Practice Blueprint (7/24/20)

An AI hiring firm says it can predict job hopping based on your interviews (7/24/20)

AI says men are lazy (7/24/20)

Google Ad Portal Equated “Black Girls” with Porn (7/23/20)

AI system detects posts by foreign ‘trolls’ on Facebook and Twitter (7/22/20)

Blind to black people (7/21/20)

Facebook Creates Teams to Study Racial Bias, After Previously Limiting Such Efforts (7/21/20)

Clients loved this designer’s work. Turns out, he was an AI (7/20/20)

Tackling the misinformation epidemic with “In Event of Moon Disaster” (7/20/20)

Why Hundreds of Mathematicians Are Boycotting Predictive Policing (7/20/20)


Predictive policing algorithms are racist. They need to be dismantled. (7/17/20)

This grading algorithm is failing students (7/16/20)

MIT researchers find ‘systematic’ shortcomings in ImageNet data set (7/15/20)

Deepfake used to attack activist couple shows new disinformation frontier (7/15/20)

DARPA Pays $1 Million For An AI App That Can Predict An Enemy’s Emotions (7/15/20)

An invisible hand: Patients aren’t being told about the AI systems advising their care (7/15/20)

Massachusetts Edges Toward First State Facial Recognition Ban (7/14/20)

Op-Ed: Bias against African American English speakers is a pillar of systemic racism (7/14/20)

Why are Artificial Intelligence systems biased? (7/12/20)

DeepMind researchers propose rebuilding the AI industry on a base of anticolonialism (7/11/20)

Controversial Detroit facial recognition got him arrested for a crime he didn’t commit (7/10/20)

Meet the Secret Algorithm That's Keeping Students Out of College (7/10/20)

AI for self-driving cars doesn’t account for crime (7/10/20)

Deepfakes are becoming the hot new corporate training tool (7/7/20)

How AI can empower communities and strengthen democracy (7/4/20)

Study: Only 18% of data science students are learning about AI ethics (7/3/20)

9 emerging job roles for the future of AI (7/2/20)

Salesforce researchers claim new method mitigates AI models’ gender bias (7/1/20)

MIT apologizes, permanently pulls offline huge dataset that taught AI systems to use racist, misogynistic slurs (7/1/20)

Vivienne Ming on Understanding the Impact of Courage & Fear Using AI (6/30/20)

New mathematical idea reins in AI bias towards making unethical and costly commercial choices (6/30/20)

Machine learning systems, fair or biased, reflect our moral standards (6/30/20)

Montreal AI Ethics Institute suggests ways to counter bias in AI models (6/30/20)

Objective Algorithms Are a Myth (6/29/20)

Here Is How The United States Should Regulate Artificial Intelligence (6/28/20)

AI Weekly: A deep learning pioneer’s teachable moment on AI bias (6/26/20)

AI gatekeepers are taking baby steps toward raising ethical standards (6/26/20)

Why Statistics Don’t Capture The Full Extent Of The Systemic Bias In Policing (6/25/20)

If Done Right, AI Could Make Policing Fairer (6/25/20)

Lessons from the PULSE Model and Discussion (6/24/20)

Wrongfully Accused by an Algorithm (6/24/20)

If AI is going to help us in a crisis, we need a new kind of ethics (6/24/20)

California city bans predictive policing in U.S. first (6/24/20)

What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias (6/23/20)

Over 1,000 AI Experts Condemn Racist Algorithms That Claim to Predict Crime (6/23/20)

Police Forces in Canada Are Quietly Adopting Facial Recognition Tech (6/23/20)

Big Tech Is Using the Pandemic to Push Dangerous New Forms of Surveillance (6/22/20)

US government doesn't know how it uses facial recognition in public housing (6/22/20)


Here’s an Algorithm for Defunding the Police (6/18/20)

Racial bias skews algorithms widely used to guide care from heart surgery to birth, study finds (6/17/20)

How is Face Recognition Surveillance Technology Racist? (6/16/20)

Fresh concerns about AI bias in the age of COVID-19 (6/15/20)

The Liabilities of Artificial Intelligence Are Increasing (6/15/20)

Who Is Responsible When Autonomous Systems Fail? (6/15/20)

Mind the App—Considerations on the Ethical Risks of COVID-19 Apps (6/13/20)

Researchers find racial discrimination in ‘dynamic pricing’ algorithms used by Uber, Lyft, and others (6/12/20)

Researchers propose framework to measure AI’s social and environmental impact (6/12/20)

US government doesn't know how it uses facial recognition in public housing (6/11/20)
The Protests Prove the Need to Regulate Surveillance Tech (6/9/20)

How to detect unwanted bias in machine learning models (6/5/20)

This startup is using AI to give workers a “productivity score” (6/4/20)

Amazon “Stands in Solidarity” Against Police Racism While Selling Racist Tech to Police (6/3/20)

Of course technology perpetuates racism. It was designed that way. (6/3/20)

Microsoft researchers say NLP bias studies must consider role of social hierarchies like racism (6/1/20)

Gender Bias In Predictive Algorithms: How Applied AI Research Can Help Us Build A More Equitable Future (5/30/20)

Access Denied: Faulty Automated Background Checks Freeze Out Renters (5/28/20)

ACLU sues facial recognition firm Clearview AI, calling it a ‘nightmare scenario’ for privacy (5/28/20)

This robot can guess how you’re feeling by the way you walk (5/18/20)

AI and me: friendship chatbots are on the rise, but is there a gendered design flaw? (5/7/20)

Facebook’s AI detects gender bias in text (5/6/20)

Do I sound sick to you? Researchers are building AI that would diagnose COVID-19 by listening to people talk. (4/30/20)

Algorithmic Risk Assessment and COVID-19: Why PATTERN Should Not Be Used (4/30/20)

Silicon Valley needs a new approach to studying ethics now more than ever (4/24/20)

The role of demographic data in addressing algorithmic bias (4/24/20)

Google’s AutoML Zero lets the machines create algorithms to avoid human bias (4/14/20)

Researchers find AI is bad at predicting GPA, grit, eviction, job training, layoffs, and material hardship 3/30/20


Trust at the center: Building an ethical AI framework (3/26/20)

Pardon the Intrusion #13: Policing using AI (3/23/20)

There Is a Racial Divide in Speech-Recognition Systems, Researchers Say (3/23/20)

Should I Worry About... the philosophy behind AI? (3/15/20)

Lie detectors have always been suspect. AI has made the problem worse. (3/13/20)

Could we forgive a machine? Study explores forgiveness in the context of robotics and AI (3/12/20)

Police Used Facial Recognition to Arrest Over 1,100 People in India Last Month (3/11/20)

A Crisis of Ethics in Technology Innovation (3/10/20)

International Women's Day: how can algorithms be sexist? (3/10/20)

Algorithms that run our lives are racist and sexist. Meet the women trying to fix them (3/10/20)

Algorithms Learn Our Workplace Biases. Can They Help Us Unlearn Them? (3/10/20)

Why the AI we rely on can’t get privacy right (yet) (3/7/20)

The case for an AI that puts nature and ethics first, not humans (3/7/20)

Before Clearview Became a Police Tool, It Was a Secret Plaything of the Rich (3/5/20)

Clearview AI: We Are ‘Working to Acquire All U.S. Mugshots’ From Past 15 Years (3/5/20)

This Small Company Is Turning Utah Into a Surveillance Panopticon (3/4/20)

Humans Are The Cause Of Bias In AI, But We're Also The Solution (3/3/20)

This Is The Year Of AI Regulations (3/1/20)


How To Combat The Dark Side Of AI (2/28/20)


Why is TikTok creating filter bubbles based on your race? (2/28/20)


Clearview’s Facial Recognition App Has Been Used By The Justice Department, ICE, Macy’s, Walmart, And The NBA (2/27/20)

Scientists propose new regulatory framework to make AI safer (2/26/20)

Clearview AI, The Company Whose Database Has Amassed 3 Billion Photos, Hacked (2/26/20)

This Filter Makes Your Photos Invisible to Facial Recognition (2/26/20)

Suckers List: How Allstate’s Secret Auto Insurance Algorithm Squeezes Big Spenders (2/25/20)

AI Deception: When Your Artificial Intelligence Learns to Lie (2/24/20)

Pentagon Adopts New Ethical Principles for Using AI in War (2/24/20)

Study finds quarter of climate change tweets from bots (2/22/20)

Privacy commissioners launch investigation into facial recognition technology tested by Toronto police, other GTA forces (2/21/20)

Google launches TensorFlow library for optimizing fairness constraints (2/21/20)

Google AI will no longer use gender labels like 'woman' or 'man' on images of people to avoid bias (2/20/20)

Artificial Intelligence (AI) And The Law: Helping Lawyers While Avoiding Biased Algorithms (2/18/20)

Facial Expressions Don’t Tell The Whole Story Of Emotion (2/17/20)

Mastercard working with transport partners on payments via gait or face biometrics (2/17/20)

Mastercard is pioneering new payment technology that identifies commuters by the way they walk (2/17/20)

EU’s new AI rules will focus on ethics and transparency (2/17/20)

AI systems claiming to ‘read’ emotions pose discrimination risks (2/16/20)

The Future of Artificial Emotional Awareness (2/13/20)

Fake news? A.I. algorithm reveals political bias in the stories you read (2/13/20)

Cost Cutting Algorithms Are Making Your Job Search a Living Hell (2/12/20)

Attorneys in unemployment fraud cases join forces, call for state review of AI in government (2/12/20)

The end of privacy as we know it (2/10/20)

Public bodies are secretly using AI for decisions on people's lives, warns standards watchdog (2/10/20)

An AI regulation strategy that could really work (2/8/20)

An Algorithm That Grants Freedom, or Takes It Away (2/6/20)

How Algorithmic Bias Hurts People With Disabilities (2/6/20)

Who owns your DNA? You should, according to this biodata bill of rights (2/6/20)

Google’s ML-fairness-gym lets researchers study the long-term effects of AI’s decisions (2/5/20)

Algorithms on social media need regulation, says UK's AI adviser (2/4/20)

EPIC Asks Federal Trade Commission To Regulate Use Of Artificial Intelligence In Pre-Employment Screenings (2/3/20)

Inside the future of online dating: AI swiping and concierge bots (1/31/20)

Why asking an AI to explain itself can make things worse (1/29/20)

Why Amazon’s Ring and facial recognition technology are a clear and present danger to society (1/31/20)

An AI Epidemiologist Sent the First Warnings of the Wuhan Virus (1/25/20)

AI Can Do Great Things—if It Doesn't Burn the Planet (1/21/20)

The Secretive Company That Might End Privacy as We Know It (1/18/20)

Your online activity is now effectively a social ‘credit score’ (1/17/20)

There's a new obstacle to landing a job after college: Getting approved by AI (1/15/20)

What Does Fairness in AI Mean? (1/15/20)

Are Your Students Bored? This AI Could Tell You (1/13/20)

'Smile with your eyes': How to beat South Korea's AI hiring bots and land a job (1/13/20)

AI can now read emotions — should it? (1/13/20)

Troll Watch: AI Ethics (1/11/20)

Samsung's Neon AI has an ethics problem, and it's as old as sci-fi canon (1/10/20)

Artificial Intelligence Makes Bad Medicine Even Worse (1/10/20)

Germany’s plans for automatic facial recognition meet fierce criticism (1/10/20)

Could an AI become your friend? (1/10/20)

Technology Can't Fix Algorithmic Injustice (1/9/20)

San Diego’s massive, 7-year experiment with facial recognition technology appears to be a flop (1/9/20)


AI Governance in 2019: A Year in Review in Japan (1/8/20)

Twitter bots and trolls promote conspiracy theories about Australian bushfires (1/7/20)

The US just released 10 principles that it hopes will make AI safer (1/7/20)

Dating apps need women. Advertisers need diversity. AI companies offer a solution: Fake people (1/7/20)

Google's AI beats doctors at detecting breast cancer. (Except when it doesn't.) (1/6/20)


Rise of #MeTooBots: scientists develop AI to detect harassment in emails (1/3/2020)

Illinois says you should know if AI is grading your online job interviews (1/1/2020)



What’s Next for AI Ethics, Policy, and Governance? A Global Overview (12/18/19)

It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets (12/12/19)

An Unethical Optimization Principle (11/12/19)

Measurement and Fairness (12/11/19)

BERT has a Moral Compass: Improvements of ethical and moral values of machines (12/11/19)

Automatically Neutralizing Subjective Bias in Text (12/5/19)

On the Legal Compatibility of Fairness Definitions (11/25/19)

Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing (11/25/19)

The Second Wave of Algorithmic Accountability (11/25/19)

The Risks of Using AI to Interpret Human Emotions (11/18/19)

The Debate on the Ethics of AI in Health Care: a Reconstruction and Critical Review (11/13/19)

Principles alone cannot guarantee ethical AI (Nov 2019)

Release Strategies and the Social Impacts of Language Models (Nov 2019)


Evaluating the Factual Consistency of Abstractive Text Summarization (10/28/19)

Fairness and Privacy in AI/ML Systems (10/28/19)

Dissecting racial bias in an algorithm used to manage the health of populations (10/25/19)

The Woman Worked as a Babysitter: On Biases in Language Generation (10/23/19)

An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy (10/17/19)

Recommender systems and their ethical challenges (10/13/19)

Bias Detect Neutral Network (10/8/19)


A fairer way forward for AI in health care (9/25/19)

The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings (9/25/19)

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead (9/22/19)

Pretrained AI Models: Performativity, Mobility, and Change (9/7/19)

The global landscape of AI ethics guidelines (9/2/19)

NHS AI Lab: why we need to be ethically mindful about AI for healthcare (August 2019)

Racial Bias in AI Isn’t Getting Better and Neither Are Researchers’ Excuses (7/29/19)

Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence (7/18/19)

A Causal Bayesian Networks Viewpoint on Fairness (7/15/19)

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements (7/13/19)

Artificial Intelligence Governance and Ethics: Global Perspectives (7/4/19)

Artificial Intelligence: the global landscape of ethics guidelines (6/24/19)

A Unified Framework of Five Principles for AI in Society (6/22/19)

“With great power comes great responsibility”: keeping public sector algorithms accountable (6/11/2019)

Notes on bias in the socio-material realization of AI technologies (June, 2019)

Transparency as design publicity: explaining and justifying inscrutable algorithms (June, 2019)

Detecting Bias with Generative Counterfactual Face Attribute Augmentation (6/18/19)

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology (6/11/19)

Evaluating Gender Bias in Machine Translation (6/3/19)

Managing Algorithmic Accountability: Balancing Reputational Concerns, Engagement Strategies and the Potential of Rational Discourse (Jun 2019)

Racial Bias in Hate Speech and Abusive Language Detection Datasets (May 2019)

Ethical Dimensions of Visualization Research (May 2019)

Semantics derived automatically from language corpora necessarily contain human biases (5/25/19)

Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical (5/23/19)

Tutorial: Socially Responsible Natural Language Processing (5/13/19)

Data Is the New What? Popular Metaphors & Professional Ethics in Emerging Data Culture (5/2/19)

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (4/18/19)

Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes (4/3/19)

Biased Language in Patient Medical Records: Detection through Natural Language Processing (NLP) and Impact on Quality (4/2/19)

That’s not fair! (April 2019)

The EU-Emotion Voice Database (April 2019)


On Measuring Social Biases in Sentence Encoders (3/25/19)

Adversarial attacks on medical machine learning (3/22/19)

Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice (3/19/20)


Big data and discrimination (March 2019)

What We Really Mean When We Say "Ethics" (video) (February 2019)

Predictive Inequity in Object Detection (2/21/19)

Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions (2/14/19)

Is It Good to Cooperate? Testing the Theory of Morality-as-Cooperation in 60 Societies (2/8/19)

Discrimination in the Age of Algorithms (2/7/19)

Private Accountability in the Age of Artificial Intelligence (2019)

No training required: Exploring random encoders for sentence classification (Jan 2019)

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure (Jan 2019)

Fairness in representation: quantifying stereotyping as a representational harm (1/28/19)

Explaining Models: An Empirical Study of How Explanations Impact Fairness Judgment (1/23/19)

Attenuating Bias in Word Vectors (1/23/19)

Wikipedia Cultural Diversity Dataset: A Complete Cartography for 300 Language Editions (1/23/19)

Identifying and Correcting Label Bias in Machine Learning (1/1/5/19)

Giving Algorithms a Sense of Uncertainty Could Make Them More Ethical (1/18/19)

Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? (1/7/19)

Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products (Jan 2019)

Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning (Jan 2019)

Government, NGO, and expert publications

Recommender systems and their ethical challenges (2019)

Beyond Bias: Contextualizing “Ethical AI” Within the History of Exploitation and Innovation in Medical Research (12/21/19)

NIST Study Evaluates Effects of Race, Age, Sex on Face Recognition Software (12/19/19)

Fairness Indicators: Scalable Infrastructure for Fair ML Systems (12/11/19)

2019 AI Index Report (December 2019)

Disability, Bias, and AI (Nov 2019)

AI 360: Hold, Fold, or Double Down (Nov 2019)

The value of a shared understanding of AI models (Nov 2019)

Supporting rights-respecting AI (11/26/19)

The Second Wave of Algorithmic Accountability (11/25/19)

Opinion: AI For Good Is Often Bad (11/18/19)

The Ethical Dilemma at the Heart of Big Tech Companies (11/14/19)

Delivering the benefits of Custom Neural Voice (11/12/19)

AI Principles: Recommendations on the Ethical Use of Artificial Intelligence by the Department of Defense (Nov 2019)

How Machine Learning Pushes Us to Define Fairness (11/6/19)

Expanding Frameworks: An economic justice approach to digital privacy (11/6/19)

Using Tensorflow Fairness Indicators (11/1/19)

Fair ML for Health Resources (Oct 2019)

Artificial Intelligence Research Needs Responsible Publication Norms (10/24/19)

AI-enabled human rights monitoring (10/17/19)

This machine read 3.5 million books then told us what it thought about men and women (9/30/19)

Building ML models for everyone: understanding fairness in machine learning (9/25/19)

Unpacking “Ethical AI”: A curated reading list (9/24/19)

LITIGATING ALGORITHMS 2019 US REPORT: New Challenges to Government Use of Algorithmic Decision Systems (9/24/19)

Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy (9/17/19)

AI ethics and the limits of code(s) (9/16/19)

Face recognition, bad people and bad data (9/9/19)

A Draft Syllabus/Curriculum for an Ethics of AI Course (9/1/19)

How New A.I. Is Making the Law’s Definition of Hacking Obsolete (8/21/19)

U.S. LEADERSHIP IN AI: A Plan for Federal Engagement in Developing Technical Standards and Related Tools (8/9/19)

AI Justice: When AI Principles Are Not Enough (8/5/19)

WEF: Responsible Use of Technology (August 2019)

AI & Global Governance: Human Rights and AI Ethics – Why Ethics Cannot be Replaced by the UDHR (7/19/19)

Gov.UK: Interim report: Review into bias in algorithmic decision-making (7/19/19)

Technical Flaws of Pretrial Risk Assessments Raise Grave Concerns (7/17/19)

Gender diversity in AI research (7/17/19)

Open View: AI/ML Fairness (7/13/19)

IDC Survey Finds Artificial Intelligence to be a Priority for Organizations But Few Have Implemented an Enterprise-Wide Strategy (7/8/19)

Differential Privacy in the 2020 Decennial Census and the Implications for Available Data Products (7/8/19)

The Foundation of Responsible Artificial Intelligence (7/7/19)

AI Differential Privacy and Federated Learning (7/1/19)

Fluxus Landscape: An Expansive View of AI Ethics and Governance (6/26/19)

Five practical steps to make Artificial Intelligence (AI) interpretable (6/21/19)

Researchers develop 'vaccine' against attacks on machine learning (6/20/19)

Ethics of Emotion AI - Part 1 (6/19/19)

The future of women at work: Transitions in the age of automation (6/12/19)

Ethical AI: Tensions and trade-offs (6/11/19)

Ethical Codex for Data- Based Value Creation (6/10/19)

AI is not as advanced as you might think (6/10/19)

Introducing the Principled Artificial Intelligence Project (6/7/19)

Does object recognition work for everyone? A new method to assess bias in CV systems (6/7/19)

Deepfakes and Synthetic Media: Updated Survey of Solutions against Malicious Usages (June 2019)

Emotional Artificial Intelligence guidelines for ethical use (June 2019)

Systemic Algorithmic Harms (5/31/19)

Responsible AI: A Global Policy Framework (5/29/19)

Accountable AI: Can the Law Reduce Bias and Increase Transparency? (5/20/19)

Tech workers call time on moving fast and breaking things (May 2019)

Designing AI for Social Good: Seven Essential Factors (May 2019)

From What to How: An Overview of AI Ethics Tools, Methods and Research to Translate Principles into Practices (May 2019)

What the Fifth Industrial Revolution is and why it matters (5/15/19)

When Humans Attack: Re-thinking safety, security, and AI (5/14/19)

People + AI Guidebook (May 2019)

World Economic Forum’s AI head on how to protect human rights without stifling innovation (4/29/19)

Recommender Systems and their Ethical Challenges (April 2019)


How AI can enable a sustainable future (April 2019)

Artificial Intelligence and Human Rights (April 2019)

DISCRIMINATING SYSTEMS: Gender, Race, and Power in AI (April 2019)

Gender, Race, and Power in AI (4/17/19)

From Principles to Action: How do we Implement Tech Ethics? (4/17/19)

Untold History of AI: Algorithmic Bias Was Born in the 1980s (4/15/19)

The Need to Regulate AI Implementation in Public Assistance Programs (4/12/19)

Laying down the law on AI: ethics done, now the EU must focus on human rights (4/8/19)

The Automated Administrative State (4/8/19)

UK to introduce world first online safety laws (4/8/19)

Artificial Intelligence: Australia’s Ethics Framework: A discussion (4/5/19)

AI Ethics: Seven Traps (3/25/19)

Google: Perspectives on Issues in AI Governance (March 2019)

Agile Ethics: Managing Ethical Complexity in Technology (3/14/19)


Pentagon Seeks ‘Ethical Principles’ for AI Use (3/4/19)

Intel’s Recommendations for the U.S. National Strategy on Artificial Intelligence (White Paper) (2/6/19)

Ethics of AI in Radiology: European and North American Multisociety Statement (February 2019)

In Favor of Developing Ethical Best Practices in AI Research (2/21/19)

The Environment for Ethical Action (2/18/19)

Council of Europe: Algorithmic Used To Manipulate Social And Political Behaviours (2/18/19)

How the Economics of Data Science is Creating New Sources of Value (2/16/19)

Public deliberation could help address AI’s legitimacy problem in 2019 (2/8/19)

Start with values: How innovation can be bold, fast and responsible (1/31/19)

AI in Context: The Labor of Integrating New Technologies (1/30/19)

The ethical and political questions raised by AI (1/29/19)

Fairness in representation: quantifying stereotyping as a representational harm (1/28/19)

Ignorance and Distrust Prevail about What Companies and Governments Do with Personal Data (1/25/19)

Automation and artificial intelligence: How machines are affecting people and places (1/24/19)

Building Ethically Aligned AI (1/23/19)

The Era of “Move Fast and Break Things” Is Over [HBR] (1/22/19)

Ethics and technology in the Fourth Industrial Revolution (1/21/19)

Why AI is failing the next generation of women (1/18/19)

Creating AI Systems That Take Culture into Account (1/17/19)

Overcoming barriers to AI adoption (1/16/19)

Facebook Algorithms and Personal Data (Pew Survey) (1/16/19)

Case study: Algorithmic decision-making and accountability (Jan 2019)

Singapore Proposed Model Artificial Intelligence Governance Framework (Jan 2019)

Artificial Intelligence: American Attitudes and Trends (Jan 2019)

Future of work research papers (Jan 2019)

Fight against facial recognition hits wall across the West (12/30/19)

Designing a Moral Compass for AI (12/30/19)

Artificial Intelligence Is Rushing Into Patient Care—And Could Raise Risks (12/24/19)

AI year in review: Opportunities grow, but ethics loom large (12/23/19)

‘The Algorithm Made Me Do It’: Artificial Intelligence Ethics Is Still On Shaky Ground (12/22/19)

AI is biased. Here’s how scientists are trying to fix it (12/21/19)

Beyond Bias: Contextualizing “Ethical AI” Within the History of Exploitation and Innovation in Medical Research (12/20/19)

Federal study of top facial recognition algorithms finds ‘empirical evidence’ of bias (12/20/19)

THE INVENTION OF “ETHICAL AI”: How Big Tech Manipulates Academia to Avoid Regulation (12/20/19)

AI Is Biased. Here's How Scientists Are Trying to Fix It (12/19/19)

Ethics In AI: Why Values For Data Matter (12/18/19)

Human Rights Commission wants privacy laws adjusted for an AI future (12/17/19)

Researchers were about to solve AI’s black box problem, then the lawyers got involved (12/17/19)

Facebook Ads Can Still Discriminate Against Women and Older Workers, Despite a Civil Rights Settlement (12/13/19)

Emotion recognition technology should be banned, says an AI research institute (12/13/19)

The AI community needs to take responsibility for its technology and its actions (12/13/19)

AI expert calls for end to UK use of ‘racially biased’ algorithms (12/12/19)

Emotion-detecting tech should be restricted by law - AI Now (12/12/19)

Stanford, Kyoto & Georgia Tech Model ‘Neutralizes’ Biased Language (12/11/19)

The Utility of Interpretable AI (12/10/19)

Microsoft tech expert warns of bias and sexism in artificial intelligence (12/10/19)

As AI moves into content creation, researchers aim to battle its biases (12/9/19)

How practitioners and academics think (and then forget) about fairness when building AI systems (12/6/19)

Biased Algorithms Are Easier to Fix Than Biased People (12/6/19)

Life Under the Algorithm: How a relentless speedup is reshaping the working class (12/4/19)

Human insight remains essential to beat the bias of algorithms (12/4/19)

UK GPDR Watchdog: Explain Your AI (12/3/19)

Portland plans to propose the strictest facial recognition ban in the country (12/2/19)

Chinese tech groups shaping UN facial recognition standards (12/1/19)

Dealing With Bias in Artificial Intelligence (Nov 2019)

An epidemic of AI misinformation (11/30/19)

Explain yourself, mister: Fresh efforts at Google to understand why an AI system says yes or no (11/29/19)

The first effort to regulate AI was a spectacular failure (11/26/19)

Tainted Data Can Teach Algorithms the Wrong Lessons (11/25/19)

Human biases are baked into algorithms. Now what? (11/25/19)

Scientists developed a new AI framework to prevent machines from misbehaving (11/25/19)

Can We Force AIs to Be Fair Towards People? Scientists Just Invented a Way (11/25/19)

Tuning Out Toxic Comments, With the Help of AI (11/21/19)

Stanford, UMass Amherst develop algorithms that train AI to avoid specific misbehaviors (11/21/19)

Researchers Want Guardrails to Help Prevent Bias in AI (11/21/19)

Dealing with bias in AI (11/19/19)

There’s an easy way to make lending fairer for women. Trouble is, it’s illegal. (11/15/19)

The Real AI Threat to Democracy (11/14/19)

When Algorithms Decide Whose Voices Will Be Heard (11/12/19)

Google's secret cache of medical data includes names and full details of millions – whistleblower (11/12/19)

These Black Women Are Fighting For Justice In A World Of Biased Algorithms (11/12/19)

Apple co-founder Steve Wozniak says Apple Card discriminated against his wife (11/11/19)

‘You sound worried’: would you let an AI rephrase the tone of your emails? (11/6/19)

Artificial Intelligence Can Be Biased. Here’s What You Should Know. (11/5/19)

Microsoft's AI Research Draws Controversy Over Possible Disinformation Use (11/4/19)

How to train artificial intelligence that won’t destroy the environment (11/4/19)

AI is making literary leaps – now we need the rules to catch up (11/2/19)

Pentagon's draft AI ethics guidelines fight bias and rogue machines (11/2/19)

AI-Related Lawsuits Are Coming (11/1/20)

NYPD Built Bias Safeguards Into Pattern-Spotting AI System (10/31/19)

Using AI to Eliminate Bias from Hiring (10/29/19)

Big Data and Racial Bias: Can That Ghost Be Removed from the Machine? (10/28/19)

Why did Microsoft fund an Israeli firm that surveils West Bank Palestinians? (10/28/19)

The hidden costs of AI (10/26/19)

A health care algorithm affecting millions is biased against black patients (10/24/19)

Artificial Intelligence Research Needs Responsible Publication Norms (10/24/19)

How much “fake news” is on Twitter?

When Binary Code Won’t Accommodate Nonbinary People (10/23/19)


After Backlash, Portland-Area Outback Steakhouse Cancels New Artificial Intelligence Surveillance Test (10/23/19)

A face-scanning algorithm increasingly decides whether you deserve the job (10/22/19)

These Startups Are Building Tools to Keep an Eye on AI (10/21/19)

Military artificial intelligence can be easily and dangerously fooled (10/21/19)

Facial recognition: This new AI tool can spot when you are nervous or confused (10/21/19)

New framework makes AI systems more transparent without sacrificing performance (10/21/19)

Fighting hate with AI-powered retorts (1019/19)

Can you make AI fairer than a judge? Play our courtroom algorithm game (10/17/19)

Facial recognition AI can’t identify trans and non-binary people (10/16/19)

Zombie debts are hounding struggling Americans. Will you be next? (10/15/19)

Ethical AI: Why governments, companies are a worried lot (10/10/19)

Rasa’s conversational AI can selectively ignore bits of dialogue to improve its responses (10/9/19)

Beware of automated hiring (10/8/19)

How to operationalize AI ethics (10/7/19)

Austria’s employment agency rolls out discriminatory algorithm, sees no problem (10/6/19)

Google causing more facial recognition problems, machine learning goes quantum and losing a job if an AI doesn't like your face (10/6/19)

Artificial stupidity: ‘Move slow and fix things’ could be the mantra AI needs (10/5/19)

An Open Source License That Requires Users to Do No Harm (10/4/19)

Congress Is Investigating the Military’s Use of Facial Recognition (10/3/19)

The Unsettling Ways Tech Is Changing Your Personal Reality (10/3/19)

Bias and Algorithmic Fairness (10/3/19)

Blind Spots in AI Just Might Help Protect Your Privacy (10/2/19)

British workers are deliberately sabotaging robots amid fears they will take their jobs, study finds (9/29/19)

“The New Jim Code” – Ruha Benjamin on racial discrimination by algorithm (9/26/19)

Reddit and Gab’s most toxic communities inadvertently train AI to combat hate speech (9/25/19)

Africa Is Building an A.I. Industry That Doesn’t Look Like Silicon Valley (9/25/19)

The Viral App That Labels You Isn't Quite What You Think (9/19/20)

See how an AI system classifies you based on your selfie (9/17/19)

AI ethics and the limits of code(s) (9/16/19)

120 million workers will need to be retrained due to AI, says IBM study (9/6/19)

An AI-Run World Needs to Better Reflect People of Color (9/6/19)

'Sense of urgency', as top tech players seek AI ethical rules (9/2/19)

How to Build an AI Ethics Committee (8/30/19)

Silicon Valley's Secret Philosophers Should Share Their Work (8/27/19)

'Dangerous' AI offers to write fake news (8/27/19)

Amazon, Microsoft, 'putting world at risk of killer AI': study (8/21/19)

An AI privacy conundrum? The neural net knows more than it says (8/19/19)

AI can read your emotions. Should it? (8/17/19)

'Stereotyping' emotions is getting in the way of artificial intelligence. Scientists say they've discovered a better way. (8/16/19)

Do Tech Companies Really Need to Snoop Into Private Conversations to Improve Their A.I.? (8/14/19)

Training the next generation of ethical techies (8/14/19)

Training bias in AI "hate speech detector" means that tweets by Black people are far more likely to be censored (8/14/19)

What your voice reveals about you (8/13/19)

Google’s algorithm for detecting hate speech is racially biased (8/13/19)


IBM Research launches explainable AI toolkit (8/8/19)

AI Needs Your Data—and You Should Get Paid for It (8/8/19)

AI Ethics Guidelines Every CIO Should Read (8/7/19)

China has started a grand experiment in AI education. It could reshape how the world learns (8/2/19)

Artificial intelligence could improve healthcare for all—unless it doesn’t (8/1/19)

AI ‘emotion recognition’ can’t be trusted (7/25/19)

Microsoft and the learnings from its failed Tay artificial intelligence bot (7/24/19)


How companies can avoid ethics washing (7/17/19)

Facial Recognition Tech Is Growing Stronger, Thanks to Your Face (7/13/19)

Ethical Artificial Intelligence Becomes A Supreme Competitive Advantage (7/7/19)

Botched Adidas Twitter Campaign Spits out Racist and Anti-Semitic Arsenal Jerseys (7/2/19)


Credit Scores Could Soon Get Even Creepier and More Biased (6/13/19)

San Francisco says it will use AI to reduce bias when charging people with crimes (6/12/19)


AI is worse at identifying household items from lower-income countries (6/11/19)

Illinois Bill Aims to Limit Use of AI in Video Job Interviews (6/11/19)

How Big Tech funds the debate on AI ethics (6/6/19)

How companies like Google are dealing with the ethics of AI (6/4/19)

Stop saying "robots are coming for your job"; start saying "Your boss wants to replace you with a robot" (6/3/19)

Ethics as a competitive advantage in the booming artificial intelligence industry (6/3/19)

This Creepy AI Predicts What You Look Like Based on Your Voice (6/1/19)

Artificial intelligence, the future of work, and inequality (5/31/19)

Addressing the Biases Plaguing Algorithms (5/31/19)

10 things we should all demand from Big Tech right now (5/29/19)

AI is only human (5/28/19)

To Fight Deepfakes, Researchers Built a Smarter Camera (5/28/19)

Amazon venturing into emotionally-savvy Artificial Intelligence at the cost of your Privacy (5/28/19)

When algorithms mess up, the nearest human gets the blame (5/28/19)

Top 5 Tools Data Scientists Can Use To Mitigate Biases In Algorithms (5/28/19)

America and its economic allies have announced five “democratic” principles for AI (5/22/19)

The Best Reason for Your City to Ban Facial Recognition (5/17/19)

Voice Recognition Still Has Significant Race and Gender Biases (5/10/19)

The Legislation That Targets the Racist Impacts of Tech (5/7/19)

All the ways hiring algorithms can introduce bias (5/6/19)

Who to sue when a robot loses your fortune (5/5/19)

The danger of AI is weirder than you think (April 2019)

Why your board needs an AI council (4/28/19)



How AI can help close the gender pay gap and eliminate bias (4/24/19)

Microsoft is winning the techlash (4/24/19)

Shazeda Ahmed on the Messy Truth About Social Credit (4/23/19)

Ethics committee raises alarm over 'predictive policing' tool (4/20/19)

How killer robots overran the UN (4/19/19)

Some AI just shouldn’t exist (4/19/19)

Emotionally intelligent AI will respond to how you feel (4/17/19)

A.I. Bias Isn’t the Problem. Our Society Is (4/16/19)

Google reportedly disbands review panel monitoring DeepMind Health AI (4/15/19)

Discrimination’s Digital Frontier (4/15/19)

What is fair when it comes to AI bias? (4/12/19)

Do no evil: why we need a public conversation about AI ethics (4/12/19)

A new bill would force companies to check their algorithms for bias (4/10/19)

Microsoft’s Brad Smith on How to Responsibly Deploy AI (4/10/19)

AI’s leading developers share their fears about the tech developing too fast (4/9/19)

Why Artificial Intelligence Needs Democratic Governance (4/9/19)

How will AI change your life? AI Now Institute founders Kate Crawford and Meredith Whittaker explain. (4/8/19)

It’s disturbingly easy to trick AI into doing something deadly (4/8/19)

Tech titans declare AI ethics concerns (4/8/19)

What we lost when we lost Google ATEAC (4/7/19)

UK businesses using artificial intelligence to monitor staff activity (4/7/19)

Real or artificial? Tech titans declare AI ethics concerns (4/7/19)

Hey Google, sorry you lost your ethics council, so we made one for you (4/6/19)

Facebook’s ad-serving algorithm discriminates by gender and race (4/5/19)

“Color-blindness” is a bad approach to solving bias in algorithms (4/3/19)

Algorithms have gotten out of control. It's time to regulate them. (4/3/19)

The problem with AI ethics (4/3/19)

The Pitfalls of Data’s Gender Gap (4/1/19)

‘Bias deep inside the code’: the problem with AI ‘ethics’ in Silicon Valley (3/29/19)

Inmates in Finland are training AI as part of prison labor (3/28/19)


Rethinking Privacy For The AI Era (3/27/19)

Ethical question takes center stage at Silicon Valley summit on artificial intelligence (3/27/19)

How malevolent machine learning could derail AI (3/25/19)


How Pope Francis could shape the future of robotics (3/24/19)

Human Contact Is Now a Luxury Good (3/23/19)

Our Software Is Biased Like We Are. Can New Laws Change That? (3/23/19)

The Dog That Did Not Bark In the Night: The Danger of Survivor Bias in AI (3/22/19)

Deciding how to decide: Six key questions for reducing AI’s democratic deficit (3/22/19)

Warnings of a Dark Side to A.I. in Health Care (3/12/19)

When AI speaks on behalf of humans: Proposing ethical guidelines based on Google Duplex assistant (3/12/19)

AI, ethics and data bias - getting it right (3/20/19)

The world’s first genderless AI voice is here. Listen now (3/19/19)

To Be Ethical, AI Must Become Explainable. How Do We Get There? (3/19/19)

As AI Spreads, Tech Needs 'Chief Bias Officers' (3/18/19)

Tackling Bias in Machine Learning (3/18/19)

Courts and police departments are turning to AI to reduce bias, but some argue it'll make the problem worse (3/17/19)

Is Microsoft AI Helping to Deliver China’s ‘Shameful’ Xinjiang Surveillance State? (3/15/19)

Without Humans, A.I. Can Wreak Havoc (3/12/19)

The NYPD Now Has an Automated Tool to Help Them Recognize Patterns in Crimes (3/10/19)

The Achilles' Heel Of AI (3/7/19)

Does AI Ethics Have A Bad Name? (3/7/19)

Don’t look now: why you should be worried about machines reading your emotions (3/6/19)

A new study finds a potential risk with self-driving cars: failure to detect dark-skinned pedestrians (3/6/19)

Should we be treating algorithms the same way we treat hazardous chemicals (3/5/19)

AI will reproduce and enshrine age-old biases—if we let it (3/5/19)

How AI Will Rewire Us (3/5/19)

Some self-driving car systems have trouble detecting darker skin, study says (3/5/19)

China’s tech billionaires back ethical rules to guide development of AI and other technologies (3/4/19)

Seeking Ground Rules for A.I. (3/4/19)

Apple is hiring an analyst to explain Siri complaints to executives (3/4/19)

16 Uncomfortable Questions Everyone Needs to Ask About Artificial Intelligence (3/3/19)

Is Ethical A.I. Even Possible? (3/1/19)

Why AI is a threat to democracy—and what we can do to stop it (2/26/19)

Chinese police test gait-recognition technology from AI start-up Watrix that identifies people based on how they walk (2/26/19)

Troubling Trends Towards Artificial Intelligence Governance (2/25/19)

AI researchers debate the ethics of sharing potentially harmful programs (2/21/19)

China Uses DNA to Track Its People, With the Help of American Expertise (2/21/19)

Pope Francis and Microsoft team up to promote prize for artificial intelligence (2/19/19)

OpenAI: Social science, not just computer science, is critical for AI (2/19/19)

Over 2000 people died after receiving Centrelink robo-debt notice, figures reveal (2/18/19)

AI in the UK: The only way is ethics (2/18/19)

Bentham, Hobbes, and The Ethics of Artificial Intelligence (2/17/19)

Are the algorithms that power dating apps racially biased? (2/17/19)

New AI fake text generator may be too dangerous to release, say creators (2/14/19)



YouTube announces it will no longer recommend conspiracy videos (2/10/19)

How Vodafone’s Chatbot Technology Is Helping It Cut Jobs (2/8/19)

Women Stand Against Social Injustice In AI (2/7/19)

I Cut the 'Big Five' Tech Giants From My Life. It Was Hell (2/7/19)

Microsoft warns investors that its artificial-intelligence tech could go awry and hurt its reputation (2/6/19)

Goodbye, trolley problem. This is Silicon Valley’s new ethics test. (2/5/19)


Microsoft warned investors that biased or flawed AI could hurt the company’s image (2/5/19)

Five Takeaways from an AI Fairness Conference (2/2/19)


Guidelines for human-AI interaction design (2/1/19)

Automated background checks are deciding who’s fit for a home (2/1/19)

Getting efficient with “What-happens-if …” (2/1/19)

A.I. Could Worsen Health Disparities (1/31/19)

Google’s head of translation on fighting bias in language and why AI loves religious texts (1/30/19)

This Is Your Brain Off Facebook (1/30/19)

Prisons Are Building Databases of Inmates' Voice Prints (1/30/19)


New York Insurers Can Evaluate Your Social Media Use—If They Can Prove Why It’s Needed (1/30/19)

San Francisco proposal would ban government facial recognition use in the city (1/29/19)

ML Integrity: Four Production Pillars For Trustworthy AI (1/29/19)

IBM releases Diversity in Faces, a dataset of over 1 million annotations to help reduce facial recognition bias (1/29/19)

The Unnatural Ethics of AI Could Be Its Undoing (1/29/19)

How to lift the veil off hidden algorithms (1/28/19)


Being Ethical: How to Beat Bias in AI and Be Transparent (1/28/19)

MIT hopes to automatically 'de-bias' face detection AI (1/27/19)

Speaking Black Dialect in Courtrooms Can Have Striking Consequences (1/25/19)

Bias in, bias out: the Stanford scientist out to make AI less white and male (1/25/19)

The Hidden Automation Agenda of the Davos Elite (1/25/19)

MIT researchers: Amazon’s Rekognition shows gender and ethnic bias (updated) (1/24/19)

Amazon Is Pushing Facial Technology That a Study Says Could Be Biased (1/24/19)

Quarter of U.S. jobs could be jeopardized by AI, research shows (1/24/19)

A.I. and Automation Will Hit Low-Skill Jobs and Trump Swing States Hardest (1/24/19)

Workers in heartland states most at risk of losing jobs to AI, new study finds (1/24/19)

Automation is a bigger threat to inland California workers, study finds (1/24/19)

Can we make artificial intelligence ethical? (1/23/19)

Artificial Intelligence and Ethics (Jan/Feb 2019)

The AI Arms Race Means We Need AI Ethics (1/22/19)

What makes AI ethicists “the top hire companies need to succeed”? (1/21/19)

A.I. Is Sending People to Jail — and Getting It Wrong (1/21/19)

The goal is to automate us': welcome to the age of surveillance capitalism (1/20/19)

What makes AI ethicists “the top hire companies need to succeed”? (1/21/19)

Why Is AI And Machine Learning So Biased? The Answer Is Simple Economics (1/20/19)

Giving algorithms a sense of uncertainty could make them more ethical (1/18/19)
How This Chicago Company Is Using Predictive Analytics To Decrease Bias (1/17/19)

US military trusted more than Google, Facebook to develop AI: survey (1/14/19)

The weaponization of artificial intelligence (1/14/19)

AI can wreak havoc if left unchecked by humans (1/14/19)

Facial and emotional recognition; how one man is advancing artificial intelligence (1/13/19)

One day your voice will control all your gadgets, and they will control you (1/11/19)

How a Google Researcher Is Making AI Easier to Understand (1/10/19)

Americans want to regulate AI but don’t trust anyone to do it (1/10/19)

Never mind killer robots—here are six real AI dangers to watch out for in 2019 (1/7/19)

The Future Of Recruiting In The Age of Automation And Artificial Intelligence (1/4/19)

2019 Is the Year to Stop Talking About Ethics and Start Taking Action (1/4/19)

How a Feel-Good AI Story Went Wrong in Flint (1/3/19)

New App Helps People Remember Faces (1/1/19)



Ethics as an Escape from Regulation: From ethics-washing to ethics shopping (2018)

The Bias Bias in Behavioral Economics (12/31/18)

Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making (Dec 2018)

Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions (12/16/18)

Improving fairness in machine learning systems: What do industry practitioners need? (12/13/18)

Racial Influence on Automated Perceptions of Emotions (12/6/18)

Artificial Intelligence in the Context of Crime and Criminal Justice (Dec 2018)

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved (11/27/18)

50 Years of Test (Un)fairness: Lessons for Machine Learning (11/25/18)

An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

Even If AI Can Cure Loneliness — Should It? (11/9/18)

Some Requests for Machine Learning Research from the East African Tech Scene (11/8/18)

Fairness and Abstraction in Sociotechnical Systems (11/7/18)

Consumer-Lending Discrimination in the Era of FinTech (Oct 2018)

The dangers of automating social programs (Oct 2018)

AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (10/28/18)

Learning Adversarially Fair and Transferable Representations (10/22/2018)

Model Cards for Model Reporting (10/5/18)

Methods for Practising Ethics in Research and Innovation: A Literature Review, Critical Analysis and Recommendations (10/1/18)

Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice (September 2018)

Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis (9/26/18)


World Economic Forum - The Future of Work 2018 Report (Sept 2018)

A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity (9/10/18)

How AI can be a force for good (8/24/18)

The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning (8/14/18)

Building Safer AGI by introducing Artificial Stupidity (8/11/18)

A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics (7/2/18)


A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (July 2018)

Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction (6/30/18)

A review of possible effects of cognitive biases on interpretation of rule-based machine learning models (6/27/18)

AI and the economy (6/13/18)

Why is my classifier discriminatory? (5/30/18)


The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards (5/9/18)

Addressing Age-Related Bias in Sentiment Analysis (April 2018)

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (4/21/18)

Modeling and Simultaneously Removing Bias via Adversarial Neural Networks (4/18/18)

Word embeddings quantify 100 years of gender and ethnic stereotypes (4/17/18)

Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions (4/10/18)

It’s Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process (3/29/18)


Data Statements for NLP: Toward Mitigating System Bias and Enabling Better Science (2/23/18)


A Reductions Approach to Fair Classification (3/6/18)

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2/318)

Measuring and Mitigating Unintended Bias in Text Classification (2/1/18)


Transparent Model Distillation (1/26/18)

Mitigating Unwanted Biases with Adversarial Learning (1/22/18)

The accuracy, fairness, and limits of predicting recidivism (1/17/18)

AI: from rational agents to socially responsible agents (2018)

Government, NGO, and expert publications

Discrimination, artificial intelligence, and algorithmic decision-making (2018)

AI Index 2018 Annual Report (December 2018)

AI Narratives Report (12/11/18)

The AI Maturity Playbook (12/11/18)

Artificial Intelligence and the Future of Humans (Pew Survey) (12/10/18)

AI Now 2018 Report (12/6/18)

AI Now 2018 Recommendations (12/6/18)

AI Fairness for People with Disabilities: Point of View (11/26/18)

Public Attitudes Toward Computer Algorithms (Pew Survey) (11/16/18)

Gender, Race and Power: Outlining a New AI Research Agenda (11/15/18)

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (11/2/18)

Portrayals and perceptions of AI and why they matter (Nov 2018)

Applying AI for Social Good: McKinsey Report (Nov 2018)


Declaration on Ethics and Data Protection in Artificial Intelligence by 40th International Conference of Data Protection and Privacy Commissioners (10/23/18)

Big data and AI: Ethical and societal implications (10/16/18)

Governing Artificial Intelligence: Upholding Human Rights & Dignity (10/10/18)

In Advanced and Emerging Economies Alike, Worries About Job Automation (Pew: Survey) (9/13/18)

Bots at the Gate: A Human Rights Analysis of Automated Decision-Making in Canada's Immigration and Refugee System (Sept 2018)

Cognitive diversity: AI and the future of work (Sept 2018)

Playing with fairness (Sept. 2018)

An ethics checklist for data scientists

Brookings survey finds divided views on artificial intelligence for warfare, but support rises if adversaries are developing it (8/29/18)

Factsheets for AI Services (8/22/18)

Ethical OS: A guide to anticipating the future impact of today’s technology (2018)

Humans Plus Robots: Why the Two Are Better Than Either One Alone (7/12/18)

Critical Perspectives on Artificial Intelligence and Human Rights (6/19/18)

Data ethics framework (6/13/18)

Analyzing & Preventing Unconscious Bias in Machine Learning (6/12/18)

How good are Google's new AI ethics principles? (6/7/18)

Google’s AI Principles (6/6/18)

Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (6/5/18)

The State of Machine Learning (ML) Adoption in the Enterprise - O'Reilly Survey (June 2018)

The Toronto Declaration: Protecting the rights to equality and non-discrimination in machine learning systems (5/16/18)

Designing ethically pt. 2 (5/4/18)

Designing ethically pt. 1 (5/2/18)

Skill shift: Automation and the future of the workforce (May 2018)

Addressing Age-Related Bias in Sentiment Analysis (4/21/18)

Algorithmic Accountability: A Primer (4/18/18)

Algorithmic impact assessments: A practical framework for public agency accountability (4/9/18)

How to Prevent Discriminatory Outcomes in Machine Learning (3/12/18)

21 definitions of fairness and their politics  [pdf] [video] (2/20/18)

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation (2/20/18)

Face Off: Law Enforcement Use of Face Recognition Technology (2/12/18)

The problem with building a “fair” system (1/30/18)

Eight Futures of Work: Scenarios and their Implications (January 2018)

The Verge 2018 tech report card: AI (12/30/18)

Are AI toys ethical? (12/27/18)

The Welfare State Is Committing Suicide by Artificial Intelligence (12/25/18)

The case for taking AI seriously as a threat to humanity (12/23/18)

HELLO 2019: 3 Predictions On How AI Will Learn and Impact Society (12/21/18)

The prison-reforming First Step Act has a critical software bug (12/21/18)

'Kill your foster parents': Amazon's Alexa talks murder, sex in AI experiment (12/21/18)

The rise of A.I. could hurt women's careers in a major way (12/21/18)

Amazon error allowed Alexa user to eavesdrop on another home (12/20/18)

AI makers get political (12/19/18)

Google AI Principles updates, six months in (12/18/18)

Super Human or Less Human? (12/16/18)

It’s time for a Bill of Data Rights (12/14/18)

A.I. 'bias' could create disastrous results, experts are working out how to fight it (12/14/18)

Nine charts that really bring home just how fast AI is growing (12/12/18)

The invisible workers of the AI era (12/12/18)

Your Apps Know Where You Were Last Night, and They’re Not Keeping It Secret (12/10/18)

2018 in Review: 10 AI Failures (12/10/18)

Fixing Bias In Algorithms Is Possible, And This Scientist Is Doing It (12/9/18)

120 predictions for AI for 2019 (12/9/18)

The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence (12/8/18)

Bank of America Tech Chief Defines Responsible AI Projects (12/5/18)

Big tech has your kid’s data — and you probably gave it to them (12/5/18)

Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias (Dec 2018)

Technologist Vivienne Ming: 'AI is a human right' (12/7/18)

New Research Reveals 75 Percent of Customers Still Favour Live Agent Support for Customer Service vs 25 Percent Self-Service and Chatbots (12/6/18)

Are Silicon Valley’s Autoreplies Taking Over Our Minds? (12/6/18)

Facial recognition has to be regulated to protect the public, says AI report (12/6/18)

Facial recognition: It’s time for action (12/6/18)

AI has a culturally-biased worldview that Google has a plan to change (12/2/18)

10 Fundamental Insights about the Tech-Driven Future for Humanity and why women, POC, and other underrepresented people in tech should lead it (11/29/18)

Why AI Needs To Reflect Society (11/29/18)


10 Most Important AI Research Papers for 2018 (11/27/18)

UK police wants AI to stop violent crime before it happens (11/26/18)

Tech giants offer empty apologies because users can’t quit (11/26/18)


How Cheap Labor Drives China’s A.I. Ambitions (11/25/18)

Wanted: The ‘perfect babysitter.’ Must pass AI scan for respect and attitude (11/23/18)

Siri, is artificial intelligence biased?” (11/20/18)

How to use science fiction to teach tech ethics (11/19/18)

One of the Fathers of AI Is Worried About Its Future (11/19/18)

A new DNA sequencing service wants to reward you for sharing your data (11/15/18)

Google 'betrays patient trust' with DeepMind Health move (11/14/18)

Harvard researchers want to school Congress about AI (11/14/18)

If You Drive in Los Angeles, the Cops Can Track Your Every Move (11/13/18)

Don’t Believe Every AI You See (11/13/18)

Algorithmic Bias or Fairness: The Importance of the Economic Context (11/13/18)

In the Age of A.I., Is Seeing Still Believing? (11/12/18)

The newest Jim Crow (11/8/18)

Breaking down AI’s trustability challenges (11/8/18)

Google Workers’ Walkout Signals Crisis of Faith in Company Culture (11/2/18)

How to Stop Technology From Becoming a Digital Frankenstein (10/31/18)

Should a Self-Driving Car Kill the Baby or the Grandma? Depends on Where You’re From (10/29/18)

4 human-caused biases we need to fix for machine learning (10/27/18)

The Digital Gap Between Rich and Poor Kids Is Not What We Expected (10/26/18)

A Dark Consensus About Screens and Kids Begins to Emerge in Silicon Valley (10/26/18)

IBM explores the intersection of AI, ethics–and Pac-Man (10/25/18)

The AI cold war that threatens us all (10/23/18)

No Innovation Without Representation (10/23/18)

Companies are on the hook if their hiring algorithms are biased (10/22/18)

No, A.I. Won’t Solve the Fake News Problem (10/20/18)

When AI Misjudgment Is Not an Accident (10/19/18)

An Ethical Awakening in AI (10/18/18)

Weapons of Micro Destruction: How Our ‘Likes’ Hijacked Democracy (10/17/18)

When Alexa Can’t Understand You (10/16/18)

Black Mirror, Light Mirror: Teaching Technology Ethics Through Speculation (10/15/18)


WIRED25: Ethical AI: Intel's Genevieve Bell On Living with Artificial Intelligence  (10/15/18)

A Right to Reasonable Inferences: Re-thinking Data Protection Law in the Age of Big Data and AI (10/11/18)

Building trust in AI applications (10/11/18)

Amazon scraps secret AI recruiting tool that showed bias against women (10/9/18)


Think computers are less biased than people? Think again. (10/3/18)

Why Technology Favors Tyranny (Oct. 2018)

Build a minimum ethical product (9/30/18)

5 takeaways on the state of AI from Disrupt SF (9/28/18)

Senators introduce the ‘Artificial Intelligence in Government Act’ (9/26/18)

Taking algorithms to court (9/24/18)

Senators are asking whether artificial intelligence could violate US civil rights laws (9/21/18)

Artificial intelligence hates the poor and disenfranchised (9/21/18)

Artificial Intelligence: The Robots Are Now Hiring (9/20/18)

IBM launches cloud tool to detect AI bias and explain automated decisions (9/19/18)

The exploitation, injustice, and waste powering our AI (9/18/18)

How AI is already affecting jobs (9/17/18)

The Human Promise of the AI Revolution (9/14/18)

High Time to Regulate Face Recognition A.I. (9/13/18)

What Algorithms Know About You Based on Your Grocery Cart (9/13/18)

Google Knows Where You’ve Been, but Does It Know Who You Are? (9/12/18)

Many voice assistant users have ‘trust issues’ with their device, study claims (9/12/18)

Ethics + Data Science (9/10/18)

Underneath all the AI hype is the likelihood it threatens the poor, says this former Microsoft and Google exec (9/8/18)

Left Unchecked, Artificial Intelligence Can Become Prejudiced All On Its Own (9/7/18)

Artificial Intelligence is greater concern than climate change or terrorism, says new head of British Science Association (9/6/18)

From headlines to headway: Defining data ethics and its impact on data workers (9/5/18)

IBM collaborated with the NYPD on an AI system that can search for people by race (9/6/18)

Everyday Ethics for Artificial Intelligence (9/5/18)

Don’t believe the algorithm (9/5/18)

Silicon Valley Thinks Everyone Feels the Same Six Emotions (9/5/18)

California just replaced cash bail with algorithms (9/4/18)

The New AI Tech Turning Heads in Video Manipulation (9/3/18)

Japan developing ‘pre-crime’ artificial intelligence to predict money laundering and terror attacks (9/1/18)

How Not to Teach Ethics (Sept 2018)

Franken-algorithms: The Deadly Consequences of Unpredictable Code (8/30/18)

Now is the time to start thinking about AI’s impact on xenophobia (8/28/18)

Watson is helping heal America's broken criminal-sentencing system (8/25/18)

To Build Trust In Artificial Intelligence, IBM Wants Developers To Prove Their Algorithms Are Fair  (8/22/18)

Technologists are trying to fix the “filter bubble” problem that tech helped create (8/22/18)

Who needs democracy when you have data? (8/20/18)

Bias In Maternal AI Could Hurt Expectant Black Mothers (8/17/18)

AI could make dodgy lip sync dubbing a thing of the past (8/17/18)

AI-Driven Dermatology Could Leave Dark-Skinned Patients Behind (8/16/18)

The Role of Trust in an Era of AI Bots (8/15/18)

Children are susceptible to peer pressure from robots (8/15/18)

Yuval Noah Harari on what the year 2050 has in store for humankind (8/12/18)

Confronting demons of the computer age (8/12/18)

Tech companies use “persuasive design” to get us hooked. Psychologists say it’s unethical (8/8/18)

What HBR Gets Wrong About Algorithms and Bias (8/7/18)

Case studies in data ethics (8/7/18)

Why artificial intelligence will have very human frailties (8/3/18)

Using artificial intelligence to fix Wikipedia’s gender problem (8/3/18)

Facial Recognition Is the Perfect Tool for Oppression (8/2/18)

Five of the scariest predictions about artificial intelligence (8/1/18)

The U.K. Wants to Become the World Leader in Ethical A.I. (8/1/18)

Fostering a Human-Centered Approach to Artificial Intelligence (7/31/18)

Data's day of reckoning (7/31/18)

The Future of Artificial Intelligence Depends on Trust (7/31/18)

Alexa alternatives have a secret weapon: Privacy (7/14/18)

The Economics Of Artificial Intelligence - How Cheaper Predictions Will Change The World (7/10/18)

London police chief ‘completely comfortable’ using facial recognition with 98 percent error rate (7/5/18)

4 ways AI can change democracy for the better (7/4/18)

Technology Alone Can't Preserve Endangered Languages (6/30/18)

BIAS EVERYWHERE: Tech companies just woke up to a big problem with their AI (6/30/18)

AI, Ain’t I A Woman? (6/28/18)

When impact measures fail (And what to do about it) (6/26/18)

Techstars: AI startups must be wary of ‘move fast and break things’ mantra (6/26/18)

Facial recognition software is not ready for use by law enforcement (6/25/18)

Unmasking A.I.'s Bias Problem (6/25/18)

Bias detectives: the researchers striving to make algorithms fair (6/20/18)

The accent gap (7/19/18)

Bing researchers develop a novel way of collecting high-quality AI training data (6/18/18)

UK report warns DeepMind Health could gain ‘excessive monopoly power’ (6/15/18)

A Tough Week for Tech Workers, and It Won’t Be the Last (6/15/18)

Plum uses AI to hire people ‘that never would have been discovered through a traditional hiring process’ (6/13/18)

When it Comes to AI and Weapons, the Tech World Needs Philosophers (6/12/18)

This tool lets you see–and correct–the bias in an algorithm (6/12/18)

Tackling the Ethical Challenges of Slippery Technology (6/11/18)

Accenture wants to beat unfair AI with a professional toolkit (6/9/18)

Silicon Valley insiders say Facebook, Snapchat, and Twitter are using 'behavioural cocaine' to turn people into addicts (6/5/18)

The digital poorhouse (6/4/18)

Are you scared yet? Meet Norman, the psychopathic AI (6/2/18)

Artificial Intelligence: Have No Fear (June 2018)

China has turned Xinjiang into a police state like no other (5/31/18)

Does China’s digital police state have echoes in the West? (5/31/18)

Pymetrics open-sources Audit AI, an algorithm bias detection tool (5/31/18)

Machine Un-Learning: Why Forgetting Might Be the Key to AI (5/31/18)

Who is writing the future? Designing infrastructure for ethical AI (5/31/18)

The (holy) ghost in the machine: Catholic thinkers tackle the ethics of artificial intelligence (5/26/18)

Navigating the risks of artificial intelligence and machine learning in low income countries (5/24/18)

Enhanced AI Tools, Enhanced AI Trust (5/24/18)

How Advances in AI and Automation Will Upend Our Traditional Models of Economic Development (5/20/18)

Finkle floats an ethical AI plan (5/18/18)

Artificial Intelligence: What’s Human Rights Got To Do With It? (5/14/18)

Algorithms are making the same mistakes assessing credit scores that humans did a century ago (5/14/18)

Society needs a reboot for the Fourth Industrial Revolution (5/14/18)

Aided by Palantir, the LAPD used predictive policing to monitor specific people and neighborhoods (5/11/18)

This company audits algorithms to see how biased they are (5/9/18)

Facebook says it has a tool to detect bias in its artificial intelligence (5/3/18)

Data Violence and How Bad Engineering Choices Can Damage Society (4/30/18)

Revealed: how bookies use AI to keep gamblers hooked (4/30/18)

PwC: Lack of trust in AI assistants like Alexa could hinder adoption (4/29/18)

It’s time to address the reproducibility crisis in AI (4/24/18)

What you need to know about Facebook and ethics (4/19/18)

Artificial intelligence must be 'for common good' (4/16/18)

When algorithms surprise us (4/13/18)

Microsoft has given up 'significant sales' over concerns that the customer will use AI for evil, says a top scientist (4/13/18)

Human bias is a huge problem for AI. Here’s how we’re going to fix it (4/10/18)

Drawing the Ethical Line on Weaponized Deep Learning Research (4/5/18)

7 Short-Term AI ethics questions (4/4/18)

A.I. Engineers Must Open Their Designs To Democratic Control (4/2/18)

What happens when an algorithm cuts your health care (3/21/18)

OpenAI Wants to Make Safe AI, but That May Be an Impossible Task (3/15/18)

What Developers Really Think About AI And Bias (3/15/18)

Fun fact of the day: Voice recognition tech is naturally sexist (3/14/18)

The case for fairer algorithms (3/14/18)

Google's DeepMind Has An Idea For Stopping Biased AI (3/13/18)

How to Make A.I. That’s Good for People (3/7/18)

The ART of AI — Accountability, Responsibility, Transparency (3/4/18)

Is Artificial Intelligence the Ultimate Test for Privacy? (3/2/18)

New Report on Emerging AI Risks Paints a Grim Future (2/21/18)

Interpreting machine learning models (2/20/18)

“We’re in a diversity crisis”: cofounder of Black in AI on what’s poisoning algorithms in our lives (2/14/18)

Google's DeepMind Has An Idea For Stopping Biased AI (2/13/18)

He Predicted The 2016 Fake News Crisis. Now He's Worried About An Information Apocalypse. (2/11/18)

Facial Recognition Is Accurate, if You’re a White Guy (2/9/18)


Dealing with Imbalanced Classes in Machine Learning (2/2/18)


Algorithms are making American inequality worse (1/26/18)

Sorry, Alexa Is Not a Feminist (1/24/18)


Why bots go bad: Curbing transgressive tendencies in AI (1/3/18)

Can an Algorithm Tell When Kids Are in Danger? (1/2/18)

The Impact of Machine Learning on Economics (Jan 2018)

Artificial Intelligence Trends to Watch in 2018 - CB Insights



Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences (12/2/17)

Are Algorithms Building the New Infrastructure of Racism? How we use big data can reinforce our worst biases—or help fix them (12/2/17)

Avoiding discrimination through causal reasoning (12/2017)

Ethical issues in research using datasets of illicit origin (Nov 2017)

The real risks of artificial intelligence (2017)

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation (10/17/17)

Is that social bot behaving unethically? (Sept 2017)

Toward algorithmic transparency and accountability (Sept 2017)

Algorithmic decision making and the cost of fairness (8/13/17)

Human decisions and machine predictions (2017)

Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (7/29/17)

Decoupled classifiers for fair and efficient machine learning (2017)

Algorithmic decision making and the cost of fairness (6/10/17)

Responses to Critiques on Machine Learning of Criminality Perceptions (5/26/17)

Semantics derived automatically from language corpora necessarily contain human biases (5/25/17)

Ethical by Design: Ethics Best Practices for Natural Language Processing (4/4/17)

Goal-Oriented Design for Ethical Machine Learning and NLP (4/4/17)

Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment. (April 2017)

Decision Making With Quantized Priors Leads to Discrimination (Feb 2017)

Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration (2017)

Refractive Surveillance: Monitoring Customers to Manage Workers (submitted 2/8/17)

Semantics derived automatically from language corpora contain human-like biases (2017)

Government, NGO, and expert publications

IEEE Standards Association Ethically Aligned Design guidelines v2 (12/2017)

Montreal Responsible AI Declaration (11/17)


AI Now 2017 Report (10/2017)

Bots Won’t Just Help Us Buy Stuff. They’ll Help Us Become Better Versions of Ourselves (6/1/17)

When Good Intentions Backfire ...And why we need a hacker mindset (2/15/17)

ATIH: Natalie Garrett on Ethical Debt and Ethics Education in Tech (3/12/20)

Can we teach morality to machines? Three perspectives on ethics for artificial intelligence (12/19/17)

Inside China’s vast new experiment in social ranking (12/14/17)

New York City’s Bold, Flawed Attempt to Make Algorithms Accountable (12/12/17)

The trouble with bias (12/10/17)


Researchers Combat Gender and Racial Bias in Artificial Intelligence (12/4/17)

Global AI Dialogue Series: Observations from the China-US Workshop in Beijing (12/2/2017)

Ethics at scale (11/29/17)

Google Translate’s gender bias pairs “he” with “hardworking” and “she” with lazy, and other examples (11/29/17)

Can A.I. Be Taught to Explain Itself? (11/21/17)

This Chatbot Is Trying Hard To Look And Feel Like Us (11/15/17)

Trustworthy AI? Yes, by design (11/8/17)

Who’s the fairest of them all? Not AI (11/8/17)

When Data Science Destabilizes Democracy and Facilitates Genocide (11/2/17)

The 10 Top Recommendations for the AI Field in 2017 (10/18/17)

What Silicon Valley gets wrong about universal basic income (10/16/17)

Can we teach robots ethics? (10/15/17)

Asking the right questions about AI (10/11/17)

Forget killer robots - Bias is the real AI danger (10/3/17)

Artificial Empathy Systems and Design Research at Scale (10/2/17)

Artificial intelligence is about the people, not the machines (9/30/17)

How to recognize exclusion in AI (9/26/17)

Instagram uses 'I will rape you' post as Facebook ad in latest algorithm mishap (9/21/17)

Artificial intelligence can make our societies more equal. Here’s how (9/21/17)

Training soft skills into AI technology (9/19/17)

AI research is in desperate need of an ethical watchdog (9/18/17)

New AI can guess whether you’re gay or straight from a photograph (9/7/17)

How to regulate artificial intelligence (9/1/17)

Turns out Algorithms are racist (8/31/17)

New app scans your face and tells companies whether you’re worth hiring (8/25/17)

Machines taught by photos learn a biased view of women (8/21/17)

AI’s biggest challenge is human, not technological. (8/19/17)

AI programs are learning to exclude African-American voices (8/16/17)

Teaching AI systems to behave themselves (8/13/17)

Why we desperately need women to design AI (8/4/17)

Biased AI is a threat to civil liberties. The ACLU has a plan to fix it. (7/25/17)

Technology Is Biased Too. How Do We Fix It? (7/20/17)

Why Google’s PAIR initiative to take bias out of AI will never be complete (7/18/17)

AI and the future of ethics (7/1/17)

Volvo admits its self-driving cars are confused by kangaroos (6/30/17)

To live in harmony with AI we must create a modern Magna Carta (7/6/17)

A discussion about AI’s conflicts and challenges (6/17/17)

Elon Musk and linguists say that AI is forcing us to confront the limits of human language (6/14/19)

Facebook taught bots to negotiate (and lie) like humans (6/14/17)

This backflipping noodle has a lot to teach us about AI safety (6/14/17)

Don't Grade Teachers With a Bad Algorithm (5/15/17)

The dark secrets at the heart of AI (4/11/17)

Will Using Artificial Intelligence To Make Loans Trade One Kind Of Bias For Another? (3/31/17)

We need to talk about Accessibility on Chatbots (1/30/17)

Algorithms and bias: What lenders need to know (1/20/17)


Peer Reviewed

Man is to computer programmer as woman is to homemaker? Debiasing word embeddings. (2016)

Equality of Opportunity in Supervised Learning (10/7/2016)

Designing AI systems that obey our laws and values (2016)

Generating Visual Explanations (Oct 2016)

On the (im)possibility of fairness (9/23/16)

The Ethics of Algorithms: Mapping the Debate (July 2016)

"Why Should I Trust You?": Explaining the Predictions of Any Classifier (2/16/18)

A Confidence-Based Approach for Balancing Fairness and Accuracy (1/22/16)

Government, NGO, and expert publications

A Guide to Solving Social Problems with Machine Learning (12/8/16)

Racism and inequity are products of design. They can be redesigned. (11/15/16)

Big Data’s Disparate Impact (2016)

Top 10 AI failures of 2016 (12/2/2016)

Facebook Lets Advertisers Exclude Users by Race (10/28/16)

The ethics of good design: A principle for the connected age (11/20/16)

The perpetual line-up (10/18/16)

There is a blind spot in AI (10/13/16)

A beauty contest was judged by AI and the robots didn't like dark skin (9/8/2016)

Machine Bias (5/23/2016)

Is Amazon same-day delivery service racist? (4/23/16)

Twitter taught Microsoft’s AI chatbot to be a racist asshole in less than a day (3/24/2016)

Uber seems to offer better service in areas with more white people (3/10/16)


Race effects on eBay (Oct 2015)

Questioning the Fairness of Targeting Ads Online (7/7/15)

Automated Experiments on Ad Privacy Settings (4/18/15)

What happens before? A field experiment exploring how pay and representation differentially shape bias on the pathway into organizations. (2015)


How big data is unfair (9/26/14)

How to Build a Strong Ethical Culture at Your [Government] Agency (7/14/14)


Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language (9/11/13)

Linguistic Models for Analyzing and Detecting Biased Language (August 2013)

Discrimination in Online Ad Delivery (1/28/13)


Fairness through awareness (Jan 2012)


A Framework for Ethical Reasoning (12/2/11)

Testing a Bayesian Measure of Representativeness Using a Large Image Database (2011)


Perceptual cues in non-verbal vocal expressions of emotion (4/29/10)


HP Investigates Claims of 'Racist' Computers (12/22/09)

Camera Misses the Mark on Racial Sensitivity (5/19/09)


Understanding Information Ethics and Policy: Integrating Ethical Reflection and Critical Thinking into Policy Development (2008)


Ethical Fading: The Role of Self-Deception in Unethical Behavior (7/2004)