🔬 Research Summary by Teresa Scantamburlo, an Assistant Professor at Ca’ Foscari University of Venice (Italy). She works at the intersection of computer science and applied ethics, focusing on AI governance and human … [Read more...] about On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
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The importance of audit in AI governance
🔬 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
🔬 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
🔬 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