🔬 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
🔬 Research Summary by Joe O’Brien, 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
🔬 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
✍️ 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
🔬 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