馃敩 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
Privacy & Security
The Case for Anticipating Undesirable Consequences of Computing Innovations Early, Often, and Across Computer Science
馃敩 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
DICES Dataset: Diversity in Conversational AI Evaluation for Safety
馃敩 Research Summary by Ding Wang, a senior researcher from the Responsible AI Group in Google Research, specializing in responsible data practices with a specific focus on accounting for the human experience and … [Read more...] about DICES Dataset: Diversity in Conversational AI Evaluation for Safety
Who to Trust, How and Why: Untangling AI Ethics Principles, Trustworthiness and Trust
馃敩 Research Summary by Andreas Duenser and David M. Douglas. Andreas Duenser is a Principal Research Scientist at CSIRO - Data61, Hobart, Australia, and is interested in the convergence of psychology and emerging … [Read more...] about Who to Trust, How and Why: Untangling AI Ethics Principles, Trustworthiness and Trust
Friend or foe? Exploring the implications of large language models on the science system
馃敩 Research Summary by Arun Teja Polcumpally, a Technology Policy Analyst at Wadhwani Institute of Technology Policy (WITP), New Delhi, India). NOTE: "The views in this article are expressed solely by the author … [Read more...] about Friend or foe? Exploring the implications of large language models on the science system