馃敩 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
Ethics
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
馃敩 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
The Moral Machine Experiment on Large Language Models
馃敩 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
Bias and Fairness in Large Language Models: A Survey
馃敩 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
Listen to What They Say: Better Understand and Detect Online Misinformation with User Feedback
馃敩 Research Summary by Hubert Etienne, a researcher in AI ethics, the former Global Generative AI Ethics Lead at Meta and the inventor of Computational philosophy. [Original paper by Hubert Etienne and Onur … [Read more...] about Listen to What They Say: Better Understand and Detect Online Misinformation with User Feedback