The State of AI Ethics

Table of Contents

Founder’s Note 1. What we’re thinking by MAIEI Staff and Community 2. The Critical Race Quantum Computer 3. Creativity and AI 4. Environment and AI 5. Geopolitics and AI 6. Outside the boxes 7. Community-Nominated Spotlights Closing Remarks

Founder’s Note

Founder’s Note

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Tradeoff determination for ethics, safety, and inclusivity in AI systems

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Systems Design Thinking for Responsible AI

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The importance systems adaptability for meaningful Responsible AI deployment

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Building for resiliency in AI systems

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Algorithmic Impact Assessments – What Impact Do They Have?

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We interviewed 3 experts who teach Tech Ethics. Here’s what we learned.

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The Future of Teaching Tech Ethics

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What’s missing in the way Tech Ethics is taught currently?

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The AI Junkyard: Thinking Through the Lifecycle of AI Systems

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Artificial Intelligence and Healthcare: From Sci-Fi to Reality

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The Chief AI Ethics Officer: A Champion or a PR Stunt?

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The Paradox of AI Ethics in Warfare

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2. Analysis of the AI Ecosystem

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Introduction by Connor Wright, Partnerships Manager, Montreal AI Ethics Institute

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The Values Encoded in Machine Learning Research

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Combating Anti-Blackness in the AI Community

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Achieving a ‘Good AI Society’: Comparing the Aims and Progress of the EU and the US

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Responsible Use of Technology: The IBM Case Study

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U.S.-EU Trade and Technology Council Inaugural Joint Statement – A look into what’s in store for AI?

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Public Strategies for Artificial Intelligence: Which Value Drivers?

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Artificial Intelligence: the global landscape of ethics guidelines

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UK’s roadmap to AI supremacy: Is the ‘AI War’ heating up?

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Putting AI ethics to work: are the tools fit for purpose?

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UNESCO’s Recommendation on the Ethics of AI

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America's global leadership in human-centered AI can't come from industry alone

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Training self-driving cars for $1 an hour

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How Data Brokers Sell Access to the Backbone of the Internet

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How new regulation is driving the AI governance market

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How open-source software shapes AI policy

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AI industry, obsessed with speed, is loathe to consider the energy cost in latest MLPerf benchmark

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Facebook Rolls Out News Feed Change That Blocks Watchdogs from Gathering Data

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There's a Multibillion-Dollar Market for Your Phone's Location Data

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Chinese AI gets ethical guidelines for the first time, aligning with Beijing’s goal of reining in Big Tech

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3. Privacy

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Introduction by Idoia Salazar, Cofounder, Observatory of the Social and Ethical Impact of Artificial Intelligence

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The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning)

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Should Families’ Surveillance Cameras Be Allowed in Nursing Homes?

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Huge data leak shatters the lie that the innocent need not fear surveillance

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The Inevitable Weaponization of App Data Is Here

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Amazon will pay you $10 in credit for your palm print biometrics

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Apple Walks a Privacy Tightrope to Spot Child Abuse in iCloud

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Privacy in the Brain: The Ethics of Neurotechnology

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This is the real story of the Afghan biometric databases abandoned to the Taliban

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The Downside to Surveilling Your Neighbors

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Leaked Documents Show How Amazon's Astro Robot Tracks Everything You Do

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“The power to surveil, control, and punish”: The dystopian danger of a mandatory biometric database in Mexico

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The Popular Family Safety App Life360 Is Selling Precise Location Data on Its Tens of Millions of Users

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Singapore’s tech-utopia dream is turning into a surveillance state nightmare

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4. Bias

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Introduction by Abhishek Gupta, Founder and Principal Researcher, Montreal AI Ethics Institute

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“A Proposal for Identifying and Managing Bias in Artificial Intelligence”. A draft from the NIST

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Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

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How TikTok’s hate speech detection tool set off a debate about racial bias on the app

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We tested AI interview tools. Here’s what we found.

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How Humans Can Force the Machines to Play Fair

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The Secret Bias Hidden in Mortgage-Approval Algorithms

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Facebook Apologizes After A.I. Puts ‘Primates’ Label on Video of Black Men

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Minority Voices ‘Filtered’ Out of Google Natural Language Processing Models

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Facebook, Citing Societal Concerns, Plans to Shut Down Facial Recognition System

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Uncovering bias in search and recommendations

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5. Social Media and Problematic Information

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Introduction by Abhishek Gupta, Founder and Principal Researcher, Montreal AI Ethics Institute

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The World Needs Deepfake Experts to Stem This Chaos

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After Repeatedly Promising Not to, Facebook Keeps Recommending Political Groups to Its Users

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Targeted ads isolate and divide us even when they’re not political – new research

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Facebook Tells Biden: ‘Facebook Is Not the Reason’ Vaccination Goal Was Missed

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To Fight Vaccine Lies, Authorities Recruit an ‘Influencer Army’

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Let’s Keep the Vaccine Misinformation Problem in Perspective

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Troll farms reached 140 million Americans a month on Facebook before 2020 election, internal report shows

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The Facebook whistleblower says its algorithms are dangerous. Here’s why.

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How We Investigated Facebook’s Most Popular Content

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How social media companies help African governments abuse “disinformation laws” to target critics

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The Metaverse Is Mark Zuckerberg’s Mobile Do-Over

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How Facebook and Google fund global misinformation

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China’s queer internet is being erased

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6. AI Design and Governance

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Introduction by Michael Klenk, Assistant Professor, Philosophy, Delft University of Technology

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Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm Within the Next Decade

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The Logic of Strategic Assets: From Oil to AI

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Corporate Governance of Artificial Intelligence in the Public Interest

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AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries

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Collective Action on Artificial Intelligence: A Primer and Review

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AI Ethics Maturity Model

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Mapping value sensitive design onto AI for social good principles

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Embedding Values in Artificial Intelligence (AI) Systems

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Moral consideration of nonhumans in the ethics of artificial intelligence

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Governance of artificial intelligence

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Avoiding an Oppressive Future of Machine Learning: A Design Theory for Emancipatory Assistants

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Against Interpretability: a Critical Examination

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Transparency as design publicity: explaining and justifying inscrutable algorithms

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Ethics-based auditing of automated decision-making systems: intervention points and policy implications

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Trustworthiness of Artificial Intelligence

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Getting from Commitment to Content in AI and Data Ethics: Justice and Explainability

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Foundations for the future: institution building for the purpose of artificial intelligence governance

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Five Recommendations For Creating More Ethical AI

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Police Are Telling ShotSpotter to Alter Evidence From Gunshot-Detecting AI

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Optimizing People You May Know (PYMK) for equity in network creation

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AI datasets are prone to mismanagement, study finds

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Apple says collision in child-abuse hashing system is not a concern

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Deleting unethical data sets isn’t good enough

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Six Essential Elements Of A Responsible AI Model

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Why you should hire a chief AI ethics officer

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Thinking Through the Ethics of New Tech…Before There’s a Problem

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7. Laws and Regulations

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Introduction by Abhishek Gupta, Founder and Principal Researcher, Montreal AI Ethics Institute

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The European Commission’s Artificial Intelligence Act (Stanford HAI Policy Brief)

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Algorithmic accountability for the public sector

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Summoning a New Artificial Intelligence Patent Model: In the Age of Pandemic

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NATO Artificial Intelligence Strategy

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Judge Throws Out 2 Antitrust Cases Against Facebook

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To regulate AI, try playing in a sandbox

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What Is Congress’s Plan to Crack Down on Big Tech?

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Analyzing the Legal Implications of GitHub Copilot

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Should Doxing Be Illegal?

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We need concrete protections from artificial intelligence threatening human rights

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Americans Need a Bill of Rights for an AI-Powered World

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Applying arms-control frameworks to autonomous weapons

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Europe wants to champion human rights. So why doesn’t it police biased AI in recruiting?

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Thousands of Geofence Warrants Appear to Be Missing from a California DOJ Transparency Database

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8. Trends

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Introduction by Abhishek Gupta, Founder and Principal Researcher, Montreal AI Ethics Institute

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Machines as teammates: A research agenda on AI in team collaboration

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Digital transformation and the renewal of social theory: Unpacking the new fraudulent myths and misplaced metaphors

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AI Ethics: Enter the Dragon!

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Balancing Data Utility and Confidentiality in the 2020 US Census

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DeepMind AGI paper adds urgency to ethical AI

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The Ethics of a Deepfake Anthony Bourdain Voice

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Foundation models risk exacerbating ML’s ethical challenges

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Now That Machines Can Learn, Can They Unlearn?

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Even experts are too quick to rely on AI explanations, study finds

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Stopping Deepfake Voices

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The Third Revolution in Warfare

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Everyone will be able to clone their voice in the future

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The pandemic is testing the limits of face recognition

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Three predictions for the future of responsible technology

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A tiny tweak to Zomato’s algorithm led to lost delivery riders, stolen bikes and missed wages

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Small Data Are Also Crucial for Machine Learning

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How Big Tech Is Pitching Digital Elder Care to Families

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How Alibaba tracks China’s delivery drivers

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Current AI Practices Could Be Enabling a New Generation of Copyright Trolls

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The Future of Digital Assistants is Queer

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Robots Won’t Close the Warehouse Worker Gap Anytime Soon

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9. Outside the boxes

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Introduction by Kathy Baxter, Principal Architect, Ethical AI Practice, Salesforce

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Top 10 Takeaways from our Conversation with Salesforce about Conversational AI

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Top 5 takeaways from our conversation with I2AI on AI in different national contexts

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Our Top-5 takeaways from our meetup “Protecting the Ecosystem: AI, Data and Algorithms”

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Building Bridges: Generative Artworks to Explore AI Ethics

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Brave: what it means to be an AI Ethicist

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You cannot have AI ethics without ethics

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Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

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Animism, Rinri, Modernization; the Base of Japanese Robotics

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Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

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Anthropomorphic interactions with a robot and robot-like agent

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Ubuntu’s Implications for Philosophical Ethics

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Risk and Trust Perceptions of the Public of Artificial Intelligence Applications

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The Ethics of Sustainability for Artificial Intelligence

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The hacker who spent a year reclaiming his face from Clearview AI

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An Artificial Intelligence Helped Write This Play. It May Contain Racism

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The Stealthy iPhone Hacks That Apple Still Can't Stop

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The limitations of AI safety tools

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AI fake-face generators can be rewound to reveal the real faces they trained on

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What Apple’s New Repair Program Means for You (And Your iPhone)

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