🔬 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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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
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