🔬 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
Ethical Implications
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
Bridging Systems: Open Problems for Countering Destructive Divisiveness Across Ranking, Recommenders, and Governance
🔬 Research Summary by Luke Thorburn, a PhD student at King’s College London, where he works on the design of algorithms to mitigate conflict risks. [Original paper by Aviv Ovadya and Luke Thorburn] Overview: … [Read more...] about Bridging Systems: Open Problems for Countering Destructive Divisiveness Across Ranking, Recommenders, and Governance
Levels of AGI: Operationalizing Progress on the Path to AGI
🔬 Research Summary by Meredith Ringel Morris, Director of Human-AI Interaction Research at Google DeepMind; she is also an Affiliate Professor at the University of Washington, and is an ACM Fellow and member of the ACM … [Read more...] about Levels of AGI: Operationalizing Progress on the Path to AGI
The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science
🔬 Research Summary by Rock Yuren Pang, whose focus is on using HCI methods, crowdsourcing, and large language models to support researchers in anticipating the social impact of their work. [Original paper by Rock … [Read more...] about The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science