🔬 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
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Fair allocation of exposure in recommender systems
🔬 Research Summary by Virginie Do and Nicolas Usunier Virginie Do is a former PhD student at Meta AI (Facebook AI Research) and PSL University Nicolas Usunier is a research scientist at Meta AI (Facebook AI … [Read more...] about Fair allocation of exposure in recommender systems
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
🔬 Research Summary by Dasha Pruss, a postdoctoral fellow at the Berkman Klein Center for Internet & Society and the Embedded EthiCS program at Harvard University. Dasha’s research focuses on algorithmic … [Read more...] about Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
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
AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
🔬 Research Summary by Lauren Wilcox, Ph.D. (she/her) is a Senior Staff Research Scientist and Group Manager of the Technology, AI, Society, and Culture (TASC) team, part of Responsible AI and Human-Centered Technology in … [Read more...] about AI Consent Futures: A Case Study on Voice Data Collection with Clinicians