🔬 Research Summary by Dr. Philippe Page, trained as a theoretical physicist developed a career in international banking before focusing energy on the next generation of internet as a Trustee of the Human Colossus … [Read more...] about Distributed Governance: a Principal-Agent Approach to Data Governance – Part 1 Background & Core Definitions
Core Principles of Responsible AI
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
🔬 Research Summary by Oana Inel, a Postdoctoral Researcher at the University of Zurich, where she is working on responsible and reliable use of data and investigating the use of explanations to provide transparency for … [Read more...] about Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
🔬 Research Summary by Edward Small, a Ph.D. candidate in computer science at the Royal Melbourne Institute of Technology with his research focused on fair and explainable artificial intelligence. [Original paper … [Read more...] about Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
Outsourced & Automated: How AI Companies Have Taken Over Government Decision-Making
🔬 Research Summary by Grant Fergusson, an Equal Justice Works Fellow at the Electronic Privacy Information Center (EPIC), where he focuses on AI and automated decision-making systems within state and local … [Read more...] about Outsourced & Automated: How AI Companies Have Taken Over Government Decision-Making
Bias and Fairness in Large Language Models: A Survey
🔬 Research Summary by Isabel O. Gallegos, a Ph.D. student in Computer Science at Stanford University, researching algorithmic fairness to interrogate the role of artificial intelligence in equitable … [Read more...] about Bias and Fairness in Large Language Models: A Survey