馃敩 Research Summary by Diptish Dey, Ph.D. and Debarati Bhaumik, Ph.D. Diptish Dey teaches and conducts research in responsible AI at the Faculty of Business & Economics of the Amsterdam University of Applied … [Read more...] about The importance of audit in AI governance
Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles
馃敩 Research Summary by Sonali Singh, a Ph.D. Student at Texas Tech University working on Large language model(LLM). [Original paper by Sonali Singh, Faranak Abri, and Akbar Siami Namin] Overview: This paper … [Read more...] about Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles
ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
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