🔬 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
Articles
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
The Moral Machine Experiment on Large Language Models
🔬 Research Summary by Kazuhiro Takemoto, Professor at Kyushu Institute of Technology. [Original paper by Kazuhiro Takemoto] Overview: Large Language Models (LLMs) are increasingly integrated into autonomous … [Read more...] about The Moral Machine Experiment on Large Language Models
From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
🔬 Research Summary by Jing Yao, a researcher at Microsoft Research Asia, working on AI value alignment, interpretability and societal AI. [Original paper by Jing Yao, Xiaoyuan Yi, Xiting Wang, Jindong Wang, and … [Read more...] about From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models