🔬 Research Summary by Devansh Saxena, a Presidential Postdoctoral Fellow at Carnegie Mellon University in the Human-Computer Interaction Institute. He studies sociotechnical practices of decision-making in the public … [Read more...] about Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making
Governance frameworks
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance
🔬 Research Summary by Blair Attard-Frost, a PhD Candidate and SSHRC Joseph-Armand Bombardier Canada Graduate Scholar at the University of Toronto’s Faculty of Information. [Original paper by Blair Attard-Frost … [Read more...] about The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance
AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
🔬 Research Summary by Vahid Ghafouri, a Ph.D. student in Telematics at IMDEA Networks Institute working on the application of NLP to measure online polarization and radicalization. [Original paper by Vahid … [Read more...] about AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics
Confidence-Building Measures for Artificial Intelligence
🔬 Research Summary by Andrew W. Reddie, Sarah Shoker, and Leah Walker. Andrew W. Reddie is an Associate Research Professor at the University of California, Berkeley’s Goldman School of Public Policy, and Founder … [Read more...] about Confidence-Building Measures for Artificial Intelligence
Acceptable Risks in Europe’s Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough
🔬 Research Summary by Dr. Henry Fraser, a Research Fellow in Law, Accountability, and Data Science at the Centre of Excellence for Automated Decision-Making and Society. [Original paper by Henry Fraser and … [Read more...] about Acceptable Risks in Europe’s Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough