🔬 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 Scientists’ Perspectives on the Potential for Generative AI in their Fields
Research Summaries
Exploring the Carbon Footprint of Hugging Face’s ML Models: A Repository Mining Study
🔬 Research Summary by Joel Castaño Fernandez, a Data Science and Engineering undergraduate student and Research Assistant at the Polytechnic University of Catalonia working on Green AI on the assessment and study of ML … [Read more...] about Exploring the Carbon Footprint of Hugging Face’s ML Models: A Repository Mining Study
Building a Credible Case for Safety: Waymo’s Approach for the Determination of Absence of Unreasonable Risk
🔬 Research summary by Dr. Francesca Favaro, who leads the Safety Best Practices team at Waymo (prev. Google Self-Driving Car Project), where she manages the development of the company safety case and works on external … [Read more...] about Building a Credible Case for Safety: Waymo’s Approach for the Determination of Absence of Unreasonable Risk
Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support
🔬 Research Summary by Michael A. Madaio, a postdoctoral researcher at Microsoft Research, where his research is at the intersection of HCI and FATE (Fairness, Accountability, Transparency, and Ethics) in AI. … [Read more...] about Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support
Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata
Summary contributed by Nga Than (@NgaThanNYC), Senior Data Scientist at Prudential Financial. [Original paper by Amy Heger, Elizabeth B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman … [Read more...] about Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata