🔬 Research Summary by Dr. Stephen MacNeil, an Assistant Professor of Computer and Information Sciences at Temple University, where he directs the HCI Lab. His work focuses on democratizing access to expertise and expert … [Read more...] about Prompt Middleware: Helping Non-Experts Engage with Generative AI
Research Summaries
Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
🔬 Research Summary by Avijit Ghosh and Dhanya Lakshmi. Dr. Avijit Ghosh is a Research Data Scientist at AdeptID and a Lecturer in the Khoury College of Computer Sciences at Northeastern University. He works at … [Read more...] about Dual Governance: The intersection of centralized regulation and crowdsourced safety mechanisms for Generative AI
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
🔬 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
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