馃敩 Research Summary by William Seymour, a lecturer in computer science at King鈥檚 College London, specializing in AI privacy, security, and
Prompt Middleware: Helping Non-Experts Engage with Generative AI
馃敩 Research Summary by Dr. Stephen MacNeil, an Assistant Professor of Computer and Information Sciences at Temple University, where he directs the HCI
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
馃敩 Research Summary by Avijit Ghosh and Dhanya Lakshmi. Dr. Avijit Ghosh is a Research Data Scientist at AdeptID and a Lecturer in the Khoury
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
馃敩 Research Summary by Abel Salinas and Parth Vipul Shah. Abel is a second-year Ph.D. student at the University of Southern California.
Fair allocation of exposure in recommender systems
馃敩 Research Summary by Virginie Do and Nicolas Usunier Virginie Do is a former PhD student at Meta AI (Facebook AI Research) and PSL
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
馃敩 Research Summary by Dasha Pruss, a postdoctoral fellow at the Berkman Klein Center for Internet & Society and the Embedded EthiCS program at
On the Perception of Difficulty: Differences between Humans and AI
馃敩 Research Summary by Philipp Spitzer and Joshua Holstein Philipp is a second-year PhD student at the Karlsruhe Institute of Technology, where
AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
馃敩 Research Summary by Lauren Wilcox, Ph.D. (she/her) is a Senior Staff Research Scientist and Group Manager of the Technology, AI, Society, and
International Institutions for Advanced AI
馃敩 Research Summary by Lewis Ho, a researcher on Google DeepMind鈥檚 AGI Strategy and Governance Team. [Original paper by Lewis Ho, Joslyn
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
馃敩 Research Summary by Sara Kingsley, a researcher at Carnegie Mellon University, and an expert in A.I. system risk assessments, having built A.I.
“Customization is Key”: Four Characteristics of Textual Affordances for Accessible Data Visualization
馃敩 Research Summary by Shuli Jones, a recent MIT MEng in Computer Science and current software engineer at Google. [Original paper by Shuli
A Holistic Assessment of the Reliability of Machine Learning Systems
馃敩 Research Summary by Anthony Corso, Ph.D., Executive Director of the Stanford Center for AI Safety and studies the use of AI in high-stakes settings