🔬 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
Research Summaries
The path toward equal performance in medical machine learning
🔬 Research Summary by Eike Petersen, a postdoctoral researcher at the Technical University of Denmark (DTU), working on fair, responsible, and robust machine learning for medicine. [Original paper by Eike … [Read more...] about The path toward equal performance in medical machine learning
Adding Structure to AI Harm
🔬 Research Summary by Mia Hoffmann and Heather Frase. Dr. Heather Frase is a Senior Fellow at the Center for Security and Emerging Technology, where she leads the line of research on AI Assessment. Together … [Read more...] about Adding Structure to AI Harm
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