🔬 Research Summary by Matthew Barker, a recent graduate from the University of Cambridge, whose research focuses on explainable AI and human-machine teams. [Original paper by Matthew Barker, Emma Kallina, … [Read more...] about FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
Technical Methods
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
🔬 Research Summary by Luiza Pozzobon, a Research Scholar at Cohere For AI where she currently researches model safety. She’s also a master’s student at the University of Campinas, Brazil. [Original paper by Luiza … [Read more...] about On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
On the Creativity of Large Language Models
🔬 Research Summary by Giorgio Franceschelli, a second-year Ph.D. student at the University of Bologna working on Generative Artificial Intelligence, Reinforcement Learning, and creativity. [Original paper by … [Read more...] about On the Creativity of Large Language Models
Prompt Middleware: Helping Non-Experts Engage with Generative AI
🔬 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
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