🔬 Research Summary by Abel Salinas and Parth Vipul Shah. Abel is a second-year Ph.D. student at the University of Southern California. Parth is a second-year master’s student at the University of Southern … [Read more...] about The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
Emerging Technology
On the Perception of Difficulty: Differences between Humans and AI
🔬 Research Summary by Philipp Spitzer and Joshua Holstein Philipp is a second-year PhD student at the Karlsruhe Institute of Technology, where he is working on topics related to human-AI interaction and the use … [Read more...] about On the Perception of Difficulty: Differences between Humans and AI
International Institutions for Advanced AI
🔬 Research Summary by Lewis Ho, a researcher on Google DeepMind’s AGI Strategy and Governance Team. [Original paper by Lewis Ho, Joslyn Barnhart, Robert Trager, Yoshua Bengio, Miles Brundage, Allison Carnegie, … [Read more...] about International Institutions for Advanced AI
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
🔬 Research Summary by Sara Kingsley, a researcher at Carnegie Mellon University, and an expert in A.I. system risk assessments, having built A.I. auditing tools, as well as red teamed multiple generative A.I. systems for … [Read more...] about Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
Computer vision and sustainability
✍️ Column by Rosalie Waelen, a philosopher and AI ethicist, doing her Ph.D. at the University of Twente in the Netherlands. Overview: When thinking about the ethics of AI, one usually considers AI’s impact on … [Read more...] about Computer vision and sustainability