🔬 Research summary by Hanlin Li, Nicholas Vincent, Stevie Chancellor, and Brent Hecht. Hanlin Li is a postdoc at UC Berkeley and an incoming assistant professor at UT Austin. Nicholas Vincent is an assistant … [Read more...] about A roadmap toward empowering the labor force behind AI
Exploring Antitrust and Platform Power in Generative AI
🔬 Research summary by Konrad Kollnig, an Assistant Professor at the Faculty of Law of Maastricht University, a leading institution for European law. [Original paper by Konrad Kollnig and Qian Li] Overview: … [Read more...] about Exploring Antitrust and Platform Power in Generative AI
Reduced, Reused, and Recycled: The Life of a Benchmark in Machine Learning Research
🔬 Research summary by Bernard Koch, a sociologist of science who studies organizational issues in scientific fields and their epistemic and ethical repercussions. He is currently a Postdoctoral Fellow at Northwestern … [Read more...] about Reduced, Reused, and Recycled: The Life of a Benchmark in Machine Learning Research
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
🔬 Research summary by Kevin Feng, a PhD student in human-computer interaction at the University of Washington, where his research focuses on enabling adaptive sociotechnical systems at scale through novel interfaces and … [Read more...] about Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
🔬 Research summary by Wiebke Hutiri, a PhD candidate at Delft University of Technology, where she studies and develops responsible design practices for trustworthy AI [Original paper by Wiebke (Toussaint) Hutiri, … [Read more...] about Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows