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
Design
The Return on Investment in AI Ethics: A Holistic Framework
馃敩 Research Summary by Marialena Bevilacqua, a Ph.D. student in Analytics at the University of Notre Dame鈥檚 Mendoza College of Business studying the intersection of AI technologies and moral judgments. [Original … [Read more...] about The Return on Investment in AI Ethics: A Holistic Framework
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