馃敩 Research Summary by Luke Thorburn, a PhD student at King鈥檚 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
Emerging Technology
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
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
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