Ethics in AI research papers and articles

By: Kathy Baxter
Photo by Annie Spratt on Unsplash

Last updated: December 30, 2019

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.



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

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

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

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

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

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)

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

Bias Detect Neutral Network (10/8/19)


A fairer way forward for AI in health care (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)

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

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

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

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

“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)

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)

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)

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)

2019 AI Index Report (December 2019)

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

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

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)

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


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)

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)

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)

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)

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

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)

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

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

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

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)

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)

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

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)

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

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

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?


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)

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)

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)

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)

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)

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)

What your voice reveals about you (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)

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)

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)

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)

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)


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)


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)

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)

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)

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)

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)

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 (8/14/19)

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


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

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)

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)


Transparent Model Distillation (1/26/18)

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)

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)

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)

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)

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)

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)

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 (10/2016)

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)

The ethics of good design: A principle for the connected age (11/20/2016)

The perpetual line-up (10/16/2016)

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)


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)

Discrimination in Online Ad Delivery (1/28/13)


A Framework for Ethical Reasoning (12/2/11)


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)