Mona Sloane, Ph.D., is an Assistant Professor of Data Science and Media Studies at the University of Virginia (UVA). As a sociologist, she studies the intersection of technology and society, specifically in the context of AI design, use, and policy. She also convenes the Co-Opting AI series, a public speaker series focused on all aspects of AI technology and its application, ranging from security to food, games, and more, and serves as the editor of the Co-Opting AI book series at the University of California Press as well as the Technology Editor for Public Books. Her book “PREDICTED: How AI Is Restructuring Society” is coming out in May 2026 with the University of California Press.

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Mona Sloane, Ph.D., is an Assistant Professor of Data Science and Media Studies at the University of Virginia (UVA). As a sociologist, she studies the intersection of technology and society, specifically in the context of AI design, use, and policy. She also convenes the Co-Opting AI series, a public speaker series focused on all aspects of AI technology and its application, ranging from security to food, games, and more, and serves as the editor of the Co-Opting AI book series at the University of California Press as well as the Technology Editor for Public Books. Her book “PREDICTED: How AI Is Restructuring Society” is coming out in May 2026 with the University of California Press.

Mona’s current research focuses on AI’s influence on the organization of social life, applied AI accountability and transparency, and AI policy and governance. At UVA, she runs Sloane Lab which spearheads social science leadership in interdisciplinary research and applied work on responsible AI, public scholarship, and technology policy. Projects include the development of new methods for AI auditing and AI transparency, innovating AI procurement, AI in hiring and talent acquisition, AI participation and public education, new AI tools for investigative journalism, global AI policy and local governance innovation on AI, and a range of different AI topics.

Previous projects Mona has led include A BETTER TECH, a public interest technology convention and career fair that brought together students and organizations in the public interest technology space across the United States and beyond that reached over 12,000 people, the Terra Incognita NYC project, an investigation of New York City’s digital public spaces in the pandemic, as well as the AI Procurement Roundtables project in collaboration with the IEEE Standards Association. In Spring 2020, Mona worked with the Swiss Consulate New York City on the “AI Here and There” series on the social impact of AI. From 2020-2021 she was an inaugural fellow of the Future Imagination Collaboratory (FIC) at NYU’s Tisch School of the Arts. In December 2020, she was added to the “100 Brilliant Women in AI Ethics Hall of Fame”. In 2021, she was named a NYU Faculty Honoree. Since 2021, she has served on the board of the Artificial Intelligence & Equality Initiative of the Carnegie Council for Ethics and International Affairs.

Mona currently is a Faculty Lead with the Digital Technology and Democracy Lab at the UVA Karsh Institute of Democracy, a Fellow with the NYU Institute for Public Knowledge, and a Research Professor by Courtesy at the NYU Tandon School of Engineering. She also is affiliated with the TĂźbingen AI Center in Germany where she recently completed a 3-year federally funded research project on the operationalization of ethics in German AI startups.

Mona holds a PhD from the London School of Economics and Political Science and has completed fellowships at the University of California at Berkeley, at the University of Cape Town, and at the Weizenbaum Institute Berlin. Before joining UVA, Mona was a Research Assistant Professor at NYU’s Tandon School of Engineering, a Senior Research Scientist at the NYU Center for Responsible AI, and the Founding Director of the *This Is Not A Drill* program, which develops public pedagogy on art, equity, technology, and the climate emergency.

Mona is a frequent public speaker and commentator, and has written for The Guardian, MIT Technology Review, The Hill, Nature, Times Higher Education, Frankfurter Allgemeine Zeitung, OneZero Medium, and other outlets.

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Email: mona [dot] sloane [at] virginia [dot] edu

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🚀 Read the new special issue of Social Science Computer Review, What Is Sociological About AI? by Mona Sloane and Jenny L. Davis. The special issue employs sociological theories, methods, and analytical commitments, calling for the rise of sociology as a leading force in AI research.

🤖 Check out the newly-launched Talent Acquisition & Recruiting AI (TARAI) Index: a public database of 100+ HR tech products to help understand how AI operates across the hiring process.

🎤 Listen to Dr. Mona Sloane discuss AI ethics, policy, and transparency on the Hoos in STEM podcast, Link

Selected Publications

Davis, J. L., & Sloane, M. (2025): ‘AI’s Sociological Era’. In: Social Science Computer Review. Link

Sloane, M., Jacobs, A. Z., & Moss, E. (2025): ‘The Measured Body’. In: Issues in Science and Technology. Link

Sloane, M., Jacobs, A. Z., & Moss, E. (2025): ‘Making Bodies: Assumptions in the Design and Validation of Motion Capture Technology’. In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. Link

Sloane, M., Birdwell, A., Mamalakis, A., Nyelele, C. (2025): ‘Broadening Access to Climate Innovation’. University of Virginia. Link

Ertman, B., Xia, B., Sloane, M., Hartvigsen, T., & Perrin, P. B. (2025): ‘Disability portrayals in artificial intelligence text-to-image generation: Influence of context and the medicalization of disability’. In: Rehabilitation Psychology. Link

National Academies of Sciences, Engineering, and Medicine. (2025): ‘Human and Organizational Factors in AI Risk Management: Proceedings of a Workshop.’ Washington, DC: The National Academies Press. Co-Chairs: Mona Sloane, Ben A. Shneiderman. Link.

Calhoun, C., Duus, E., Ho, D., Kitzmann, O., and Sloane, M. (2025): ‘Students in the Driver’s Seat: Establishing Collaborative Cultures of Technology Governance at Universities.’ In: Reimagining AI: For Environmental Justice and Creativity. University of Virginia: Digital Technology for Democracy Lab. Link

Sloane, M. (2025): ‘Boolean Clashes: Discretionary Decision Making in AI-Driven Recruiting’. In: Communications of the ACM. Link

Sloane, M., Moss, E., Kennedy, S., Stewart, M., Warden, P., Plancher, B., Reddi, V.J. (2025): ‘Materiality and Risk in the Age of Pervasive AI Sensors’. In: Nature Machine Intelligence. Link

Sloane, M., Wüllhorst, E. (2025): ‘A systematic review of regulatory strategies and transparency mandates in AI regulation in Europe, the US, and Canada’. Data & Policy (Cambridge). Link

Sloane, M. (2024): ‘Considering “Community”’. Issues in Science and Technology 41, no. 1 (Fall 2024). Link

Harvey, E., Sandhaus, H., Jacobs, A.Z., Moss, E., Sloane, M. (2024): ‘The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology’. 2024 ACM CHI Conference on Human Factors in Computing Systems, May 2024. *Honorable Mention Best Paper Award* Link Video

Koenecke, A., Choi, A. S. G., Mei, K. X., Schellmann, H., Sloane, M. (2024): ’Careless Whisper: Speech-to-Text Hallucination Harms’. 2024 ACM Conference on Fairness, Accountability, and Transparency, June 2024. Link Video

Sloane, M., Moss, E., Danks, D. (2024): ‘Tackling “AI Hyping” in AI’, In: AI and Ethics, Volume 4, Issue 2, April 2024. Link

Sloane, M. (2024): ‘Controversies, contradiction, and “participation” in AI’, In: AI. Big Data & Society, Volume 11, Number 1, February 2024. Link

Sloane, M., Solano-Kamaiko, I., Yuan, J., Dasgupta., A., Stoyanovich, S. (2023): ‘Introducing Contextual Transparency for Automated Decision Systems’, In: Nature Machine Intelligence, published online March 2023. Link

Sloane, M. (2022): ‘To make AI fair, here’s what we must learn to do’, In: Nature, Volume 605, Number 7908, May 2022. Link

Sloane, M. (2022): ‘Threading Innovation, Regulation, and the Mitigation of AI Harm: Examining Ethics in National AI Strategies.’ Book Chapter in ‘The Global Politics of Artificial Intelligence.’ Taylor & Francis/Routledge, New York. Link

Sloane, M., Moss, E., Chowdhury, R. (2022): ‘A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability’, In: Patterns (Cell Press), Volume 3, Number 2, February 2022. Link

Sloane, M., Zakrzewski, J. (2022): ‘German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation.’ 2022 ACM Conference on Fairness, Accountability, and Transparency, June 2022. Link 

Sloane, M., Moss, E., Awomolo, O., Forlano, L. (2022): ‘Participation Is not a Design Fix for Machine Learning’, 2022 ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, October 2022. Link

Rhea, A., Markey, K. D’Arinzo, L., Schellmann, H., Sloane, M., Squires, P., Stoyanovich, J. (2022): ‘Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit’, 2022 ACM Conference on Artificial Intelligence, Ethics, and Society, July 2022. Link 

Sloane, M., Moss, E. (2019): ‘AI’s Social Sciences Deficit’. In: Nature Machine Intelligence, Volume 1, August 2019. Link

Sloane, M. (2019): ‘Inequality Is the Name of the Game: Thoughts on the Emerging Field of Technology, Ethics and Social Justice’, 2019 Weizenbaum Conference on Challenges of Digital Inequality: Digital Education, Digital Work, Digital Life, May 2019, Best Paper Award. Link

Past Events

Co-Opting AI: Kids, February 11, 2026, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Virginia AI Symposium: Advancing Teaching and Learning in the Age of Generative AI, January 23, 2026, UVA Center for Teaching Excellence

The Public’s Science—A New Social Contract for American Research Policy Workshop, December 5 & 6, 2026, Institute for Advanced Study

Co-Opting AI: Libraries, November 19, 2025, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Co-Opting AI: Antiquity, October 22, 2025, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

An Evening with Karen Hao, October 21, 2025, UVA Digital Technology for Democracy Lab, Sloane Lab, and UVA College of Arts & Sciences

Wie verändert KI unsere Arbeit, unser Leben? (How does AI change our work, our lives?), September 24, 2025, EWMD Society

Co-Opting AI: Taxes, September 17, 2025, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

The Future With AI: Policies, Ethics, and Governance, September 13, 2025, UVA Office of Engagement

Co-Opting AI: Debt, May 14, 2025, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

2025 National Symposium on Equitable AI, April 5-6, 2025, Morgan State University, Baltimore, Maryland, USA

Co-Opting AI: Privacy, March 26, 2025, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Artificial Societies: Confronting Social Engineering after the Techlash Symposium, 
March 7, 2025, Centre for Interdisciplinary Methodologies, University of Warwick, Coventry, UK

28th Annual BTLJ-BCLT Spring Symposium: AI Governance at the Crossroads, February 27-28, 2025, UC Berkeley School of Law, Berkeley, California, USA

Co-Opting AI: Museums, February 24, 2025, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Still Social: The Role of AI in Everyday Life, February 24, 2025, UVA Club Phoenix, Phoenix, Arizona, USA

Fellowship in AI Research (FAIR) Symposium, January 31, 2025, The Forum Hotel, UVA Darden School of Business, Charlottesville, Virginia

AI +/- STUDENTS: Governance and Research Opportunities with Mona Sloane, December 17, 2024, University of Melbourne, Australia

Aviation and AI Hackathon, December 16, 2024, University of Melbourne, Melbourne, Australia

Assumptions and Accountability in AI, December 10, 2024, University of Melbourne Law School, Melbourne, Australia

The Value Chain of Ethical AI, December 6, 2024, LaCross Institute for Ethical Artificial Intelligence in Business, Charlottesville, Virginia

Co-Opting AI: Cars, December 4, 2024, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Toward Public Interest Technology, November 8, 2024, Public Interest Technology University Network, University of Virginia, Charlottesville, Virginia, USA

Co-Opting AI: Anatomy, November 7, 2024, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Co-Opting AI: Architecture, October 28, 2024, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Operationalizing Ethics into Online Safety and AI Research Workshop, October 22, 2024, White House Office of Science and Technology Policy, Washington D.C., USA

The Last Human Job Book Tour, October 16, 2024, NYU Institute for Public Knowledge, New York, USA

Co-Opting AI: Math, September 17, 2024, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

AI in Education Workshop, August 22, 2024, National Association for the Advancement of Colored People (NAACP) and Schott Foundation, Virtual

Data for Policy Conference, Paper Presentation ‘A systematic review of regulatory strategies and transparency mandates in AI regulation in Europe, the US, and Canada’, July 9-11, 2024, London, UK

Workshop on Human and Organizational Factors in AI Risk Management: Designing Paths Forward in AI Risk Management, Co-Chair, July 2, 2024, The National Academies of Sciences, Engineering, and Medicine, Washington D.C., USA

HCI International Conference 2024, Invited Tutorial Talk ‘AI’s Epistemology’, July 1, 2024, Washington D.C., USA

Workshop on Human and Organizational Factors in AI Risk Management: Safety in Context: Culture, Processes, and Frameworks, Co-Chair, June 26, 2024, The National Academies of Sciences, Engineering, and Medicine, Video

Workshop on Human and Organizational Factors in AI Risk Management: Evaluation, Testing, and Oversight, Co-Chair, June 20, 2024, The National Academies of Sciences, Engineering, and Medicine, Video

Workshop on Human and Organizational Factors in AI Risk Management: Broadening Stakeholder Participation, Co-Chair, June 11, 2024, The National Academies of Sciences, Engineering, and Medicine, Video

The Past, Present, and Future of Technology Policy, June 6, 2024, The John W. Kluge Center at the Library of Congress, Washington D.C., USA

AI and Recruiting, Federal Trade Commission, June 5, 2024, Washington D.C., USA

Co-Opting AI: Crime, April 18, 2024, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

Science Diplomacy Summit 2024, April 15-16, 2024, Johns Hopkins Bloomberg Center, Washington, D.C., USA

Future of Work Conference, AI and Recruiting: The Need for Transparency, April 3, 2024, Virtual

IBC Bank and Commerce Bank Keynote Speaker Series, Keynote, March 20, 2024, Texas A&M International University, Laredo, Texas, USA

National Institute of Standards and Technology (NIST), Human Subjects Research Day, Keynote, March 14, 2024, Gaithersburg, Maryland, USA

Co-Opting AI: Campaigning, February 29, 2024, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

The Algorithm: AI, Civil Rights, and the Workplace, Book Talk with Hilke Schellmann, February 15, 2024, UVA Karsh Institute of Democracy, Charlottesville, Virginia, USA

Telekom Management Team Meeting 2024, Keynote, January 31, 2024, Bonn, Germany

Motion Capture Audit Workshop, January 24, 2024, University of Virginia, Charlottesville, Virginia, USA

Co-Opting AI: Athletics, December 6, 2023, UVA Karsh Institute of Democracy and NYU Institute for Public Knowledge, Video

UVA Conference on Leadership in Business, Data, and Intelligence, December 5, 2023, University of Virginia, Arlington, Virginia, USA

RGF Staffing, AI and HR Roundtable: Transforming Staffing and Mitigating Risks, November 30, 2023, Virtual

Co-Opting AI: Origins, November 20, 2023, NYU Institute for Public Knowledge, Video

AI & The Student Experience, November 13, 2023, Tufts University, Medford, Massachusetts, USA

AI in Student Services, November 12, 2023, Student Affairs Administrators in Higher Education (NASPA), Portland, Maine, USA

2023 6th International Academic Conference on Artificial Intelligence and Laws-AI Financial Goverence & AI Basic Act and Generative AI, October 28, 2023, International Artificial Intelligence and Law Research Foundation, Taipei City, Taiwan

Innovating AI Accountability: Bridging Social Science and Technical Approaches, October 19, 2023, University of Maryland, College Park, Maryland, USA

Responsible AI Workshop, October 17, 2023, Northeastern University, Boston, Massachusetts, USA

ML Sensors: Safeguarding User Privacy in the Era of Sensor Intelligence, October 2-3, 2023, Harvard Radcliffe Institute, Cambridge, Massachusetts, USA

Sociotechnical Audit Summit, September 27-28, 2023, The Data Nutrition Project, Virtual

Talent Summit 2023, September 20, 2023, Gem, Session Recording

Discriminatory Affects of AI and Algorithms, September 13, 2023, League of Women Voters of Maine, Virtual

INTERSPEECH 2023, August 21, 2023, Dublin, Ireland

Sociotechnical Approaches to Measurement and Validation for Safety in AI, July 18-29, 2023, Center for Advancing Safety of Machine Intelligence, Northwestern University and UL Research Institutes, Evanston, Illinois, USA

AI Auditing Workshop, June 14, 2023, University of Notre Dame, South Bend, Indiana, USA

AI and Hiring, June 23, 2023, Fairness and Intersectional Non-Discrimination in Human Recommendation (FINDHR), Universidad Pompeu Fabra, Barcelona, Spain

American Council of Learned Societies, Research University Consortium in Support of the Humanities and Interpretive Social Sciences, May 31, 2023, Virtual

(un)Stable Diffusions, May, 23-24, 2023, Milieux Institute, Virtual

Is an Algorithm Your Next Hiring Manager?, May 10, 2023, The Future of Work Podcast, International Labor Organization, Podcast

Co-Opting AI: Classification, May 9, 2023, NYU Institute for Public Knowledge, New York City, USA, Video

Data Collection and Distribution Processes as Enablers for the Exercise of Human Rights, May 4, 2023, United Nations, New York City, USA, Video

Co-Opting AI: Language, April, 27, 2023, NYU Institute for Public Knowledge, New York City, USA, Video

Digitalisierung und KI in der Justiz: Chancen und Grenzen, April 24, 2023, University of WĂźrzburg Law School, WĂźrzburg, Germany

Artificial Intelligence and Recruiting: Gatekeeping the Labor Market, March 3, 2023, Night of Ideas by the Cultural Services of the French Embassy, the Ukrainian Institute of America, New York City, USA

Co-Opting AI: Recruiting, February 22, 2023, NYU Institute for Public Knowledge, New York City, USA, Video

Automation by Design, February 17, 2023, Charles Babbage Institute, University of Minnesota, Minneapolis, USA

Rethinking Work: AI, Recruiting, and Accountability, February 16, 2023, NYU SPS Human Capital Management, New York City, USA, Video

Gatekeeping the labor market: How Recruiters use AI to find and assess talent, January 10, 2023, International Labour Organization, Geneva, Switzerland, Video

Co-Opting AI: Agriculture, December 6, 2022, NYU Institute for Public Knowledge, New York City, USA, Video

First International Algorithmic Auditing Conference, November 8, 2022, Barcelona, Spain 

Algorithmic Auditing Workshop, October 24, 2022, The German Marshall Fund of the United States, Virtual

Managing AI Risk, October 19, 2022, National Institute of Standards and Technology, Video 

Co-Opting AI: Robot Law, October 19, 2022,  NYU Institute for Public Knowledge, New York City, USA, Video

AI & Future of Work, October 13, 2022, ETH ZĂźrich AI Policy Summit, ZĂźrich, Switzerland, Video

Understanding AI Ethics as Cultural Practice, We Robot Conference, September 14-16, 2022, University of Washington, Seattle, USA

Upcoming Events

Co-Opting AI: Insurance, March 25, 2026, UVA Karsh Institute of Democracy and NYU Institute of Public Knowledge, RSVP

Selected Press

Racz, M. (2026): ‘Honor Week panel discusses the future of artificial intelligence in academic integrity,’ In: The Cavalier Daily, March 2026. Link

McDermott, M. (2026): ‘Adelphi accused a student of using AI to plagiarize. He fought back — and won.,’ In: Newsday, February 2026. Link

Extance, A. (2026): ‘AI and the rise of intelligence sensing,’ In: Nature Sensors, January 2026. Link

UVA Environmental Institute. (2025): ‘AI Is Transforming Climate Science. Who Gets to Build It Matters, Says UVA Study,’ In: UVA Environmental Institute News, December 2025. Link

Zur Muhlen, L. (2025): ‘U.Va.’s Sloane Lab explores how AI is used in the hiring process,’ In: The Cavalier Daily, November 2025. Link

Candelier, E. (2025): ‘New Public Database Brings Transparency to AI Tools Used in Hiring,’ In: UVA Data Science, November 2025. Link

Perez, L. (2025): ‘Where the “Empire of AI” is Leading Us,’ In: UVA College and Graduate School of Arts & Sciences, October 2025. Link

Zur Muhlen, L. (2025): ‘Karen Hao talks the “Empire of AI,” with two paths society can take’, In: The Cavalier Daily, October 2025. Link

Zur Muhlen, L. (2025): ‘Professors share their findings and thoughts on the use of AI in research’, In: The Cavalier Daily, October 2025. Link

Herold, E. (2025): ‘School faculty share insights on how AI might influence policies, ethics, and governance’, In: UVA Data Science, September 2025. Link

Zur Muhlen, L. (2025): ‘AI at the University: Preparing for the Future’, In: The Cavalier Daily, August 2025. Link

Schellmann, H. (2025): ‘I Tested How Well AI Tools Work for Journalism’, In: Columbia Journalism Review, July 2025. Link

National Academies of Sciences, Engineering, and Medicine. (2025): Strategies for Integrating AI into State and Local Government Decision Making: Rapid Expert Consultation. In: The National Academies Press. Link

Beach, B. (2025): ‘Charting a safer path for AI: Experts outline principles for human-centered risk management’, In: UVA Data Science, July 2025. Link

Hoos in STEM. (2025): ‘Rethinking Learning in an AI Era: UVA’s Digital Education Revolution’, In: Hoos in STEM, July 2025. Link

Sanke, A. (2025): ‘ChatGPT's dark side: Can we trust artificial intelligence?’, In: The Newsmakers, May 2025. Link

Gambacini, L. (2025): ‘Faculty and students share opinions on the use of generative artificial intelligence’, In: The Cavalier Daily, April 2025. Link

Kelly, J. (2025): ‘Q&A: Is Artificial Intelligence Friend or Foe?’, In: UVA Today, March 2025. Link

PBS NewsHour (2025): ‘What to know about an AI transcription tool that ‘hallucinates’ medical interactions’, In: PBS NewsHour, January 2025. Link

Murgia, M. (2025): ‘Healthcare turns to AI for medical note-taking ‘scribes’ ’, In: Financial Times, January 2025. Link

Edwards, B. (2024): ‘OpenAI’s Transcription Tool Hallucinates. Hospitals Are Using It Anyway’, In: Wired, October 2024. Link

Edwards, B. (2024): ‘Hospitals adopt error-prone AI transcription tools despite warnings’, In: Ars Technica, October 2024. Link

Burke, E. and Schellmann, H. (2024): ‘Researchers say an AI-powered transcription tool used in hospitals invents things no one ever said’, In: The Associated Press, October 2024. Link

Allen, C. (2024): ‘UVA Research Group Examining AI and Job Recruitment Expands’, In: UVA Data Science, August 2024. Link

Tech Ethics Lab (2024): ‘Research Project Outcomes: Mitigating Bias in Motion Capture Technology’, In: Tech Ethics Lab, July 2024. Link

Bang, K. (2024): ‘Is AI in Media Inevitable?’, In: Morning Wave in Busan, July 2024. Link

DailyAI (2024): ‘AI transcription tools generate harmful hallucinations’, In: DailyAI, May 2024. Link

Nyce, C. M. (2024): ‘You Don’t Have to Type Anymore’, In: The Atlantic, April 2024. Link

Hoos in STEM (2024): ‘Dr. Mona Sloane is on the Cutting Edge of AI Ethics’, In: Hoos in STEM, April 2024. Link

Pepitone, J. (2024): ‘AI Is Being Built on Dated, Flawed Motion-Capture Data “Gold standard” data is based on certain body types...and cadavers’, In: IEEE Spectrum for the Technology Insider, March 2024. Link

Waters, G. and Miller, C. (2024): ‘A How-To Guide on Acquiring AI Systems: The IEEE standard helps government agencies strengthen their purchasing requirements’. In: IEEE Spectrum for the Technology Insider, January 2024. Link

UVA Data Science (2024): ‘New Research Examines How Assumptions Affect Motion Capture Technology’. In: UVA Data Science News, January 2024. Link

Office of Management and Budget (2024): ‘Comment on OMB-2023-0020-0001’, In: Regulations.gov, December 2023. Link

UVA Data Science (2023): ‘Two Data Science Faculty Members Awarded DCADS Research Fellowships’. In: UVA Data Science News, December 2023. Link

Biron, C. (2023): ‘Cities draw up AI policies as US federal laws lag behind’. In: Thomson Reuters Foundation, November 2023. Link

Sloane, M. (2023): ‘Biden’s AI executive order underlines need for student technology councils’. In: Times Higher Education, November 2023. Link

Boone, E. (2023): ‘Strike two: Residual anxieties haunt actors, AI and the arts’. In: The Cavalier Daily, November 2023. Link

UC Press (2023): ‘Q&A with Mona Sloane, Editor of New Co-Opting AI Book Series’. In: UC Press, November 2023. Link

Bahorsky, R. (2023): ‘Bridging Journalism’s Technological Divide’. In: University of Virginia, College and Graduate School of Arts & Sciences, October 2023. Link

NYU-TV (2023): ‘This Is Not A Drill 2023 Exhibition Video’, September 2023. Link

Azzo, A. (2023): ‘Measuring Safety in Artificial Intelligence: ‘Positionality Matters’. In: Center for Advancing Safety of Machine Intelligence, August 2023. Link

Gurung, A. (2023): ‘Promises and Controversies of AI’s (Un)Stable Diffusions: Highlights of the Keynote Panels‘. In: Milieux, July 2023. Link

Davis, L. (2023): ‘The New Age of Hiring: AI Is Changing the Game for Job Seekers’. In: CNET, June 2023. Link

Sloane, M., Ernst, E. (2023): ‘The shake-up of the tech sector shows: we must learn from finance regulation’. In: The Hill, March 2023. Link

Edward Moreno, J. (2023): ‘Workplace AI Vendors, Employers Rush to Set Bias Auditing Bar’. In: Bloomberg Law, March 2023. Link

Mhlungu, G. (2023): ‘How Artificial Intelligence Is Affecting Human Rights and Freedoms’. In: Global Citizen, January 2023. Link

Walk-Morris, T. (2022): ‘These algorithms could be getting between you and your next job’. In: Quartz, December 2022. Link

Onderka, L. (2022): ‘Eine KI kann das Entwicklungspotenzial eines Bewerbers nicht erkennen: Interview mit Mona Sloane’. In: Personalwirtschaft, November 2022. Link

Inside Big Data (2022): ‘AI Hiring Experts on President Biden’s AI Bill of Rights’. In: Inside Big Data, November 2022. Link

Sloane, M. (2022): ‘AI-Driven Biometry and the Infrastructures of Everyday Life’. In: Ada Lovelace Institute, May 2022. Link

Sklar, J. (2022): ‘5 Tips for Covering Racial Bias in Health Care AI’. In: The Journalist’s Resource, Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School, July 2022. Link

Irwin, V. (2022): ‘The Rise of Tech Ethicists Shows How the Industry is Changing’. In: Protocol, April 2022. Link

Kaye, K. (2022): ‘A New Wave of AI Auditing Startups Wants to Prove Responsibility Can Be Profitable’. In: Protocol, January 2022. Link

Sloane, M. (2021): ‘The Algorithmic Auditing Trap’. OneZero, May 17, 2021. Link

Sloane, M. (2021): ‘Surveillance Society: Artificial Lighting for a Policed Public’. In: The Architectural Review, September 2021. Link

Deutsche Welle (2021): ‘Looking into the future II – Technology to the rescue’. In: DW Global Media Forum 2021. Link

Sloane, M. (2020): ‘Participation-washing could be the next dangerous fad in machine learning’. In: MIT Technology Review, August 2020. Link

Verhulst, S., Sloane, M. (2020): ‘Realizing the Potential of AI Localism’. In: Project Syndicate, February 2020. Link

Sloane, M. (2019): ‘Intelligente Maschinen hinter ethischen Rauchwänden’. In: Frankfurter Allgemeine Zeitung, Feuilleton, June 2019. Link