🔬 Research summary by Julienne LaChance, PhD (SonyAI, AI Ethics) and Alessandro Fabris (University of Padua). Dr. Julienne LaChance, an AI Research Scientist on the AI Ethics Team at SonyAI and founding member of … [Read more...] about The 28 Computer Vision Datasets Used in Algorithmic Fairness Research
Research Summaries
Study of Competition Issues in Data-Driven Markets in Canada
🔬 Research summary by Vass Bednar, the Executive Director of McMaster University’s MPP in Digital Society Program and holds fellowships with the Public Policy Forum and CIGI. [Original paper by Vass Bednar, Ana … [Read more...] about Study of Competition Issues in Data-Driven Markets in Canada
Exploring Clusters of Research in Three Areas of AI Safety
🔬 Research summary by Ashwin Acharya, an AI Governance and Strategy Researcher at Rethink Priorities. [Original paper by Helen Toner and Ashwin Acharya] Overview: Problems of AI safety are the subject of … [Read more...] about Exploring Clusters of Research in Three Areas of AI Safety
Jack Clark Presenting the 2022 AI Index Report
🔬 Video summary by Connor Wright, our Partnerships Manager. [Original video by Jack Clark] Overview: Who currently leads the way in terms of AI hiring? Is investment in AI simply concentrated in the same … [Read more...] about Jack Clark Presenting the 2022 AI Index Report
Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies
🔬 Research Summary by Rishi Balakrishnan, a student at UC Berkeley passionate about algorithmic fairness, privacy, and trustworthy AI more broadly. [Original paper by Briana Vecchione, Solon Barocas, Karen … [Read more...] about Algorithmic Auditing and Social Justice: Lessons from the History of Audit Studies