🔬 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
Research Summaries
In Consideration of Indigenous Data Sovereignty: Data Mining as a Colonial Practice
🔬 Research Summary by Jennafer Shae Roberts, a social science researcher with Accel AI Institute specializing in AI and ethics from a decolonial perspective. [Original paper by Jennafer Shae Roberts and Laura … [Read more...] about In Consideration of Indigenous Data Sovereignty: Data Mining as a Colonial Practice
The Return on Investment in AI Ethics: A Holistic Framework
🔬 Research Summary by Marialena Bevilacqua, a Ph.D. student in Analytics at the University of Notre Dame’s 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
🔬 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
🔬 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