馃敩 Research Summary by Mohi Reza, a Computer Science Ph.D. Candidate at the University of Toronto and an Adaptive Experimentation Accelerator team member who won the Grand Prize in the $1M XPRIZE Digital Learning … [Read more...] about ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
Deployment corrections: An incident response framework for frontier AI models
馃敩 Research Summary by Joe O鈥橞rien, an Associate Researcher at the Institute for AI Policy and Strategy, focusing on corporate governance and accountability surrounding developing and deploying frontier AI … [Read more...] about Deployment corrections: An incident response framework for frontier AI models
Representation Engineering: A Top-Down Approach to AI Transparency
馃敩 Research Summary by Andy Zou, a Ph.D. student at CMU, advised by Zico Kolter and Matt Fredrikson. He also cofounded the Center for AI Safety (safe.ai). [Original paper by Andy Zou, Long Phan, Sarah Chen, James … [Read more...] about Representation Engineering: A Top-Down Approach to AI Transparency
The irony of having a clean AI chatbot
鉁嶏笍 Column by Sun Gyoo Kang, Lawyer. Disclaimer: The views expressed in this article are solely my own and do not reflect my employer's opinions, beliefs, or positions. Any opinions or information in this article … [Read more...] about The irony of having a clean AI chatbot
Risky Analysis: Assessing and Improving AI Governance Tools
馃敩 Research Summary by Kate Kaye, a researcher, author, award-winning journalist, and deputy director of the World Privacy Forum, a nonprofit, non-partisan, public-interest research group. Kate is a member of the OECD.AI … [Read more...] about Risky Analysis: Assessing and Improving AI Governance Tools