馃敩 Research Summary by Nick Bryan-Kinns, Professor of Creative Computing at the Creative Computing Institute, University of the Arts London, where he
Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection
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
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
Outsourced & Automated: How AI Companies Have Taken Over Government Decision-Making
馃敩 Research Summary by Grant Fergusson, an Equal Justice Works Fellow at the Electronic Privacy Information Center (EPIC), where he focuses on AI and
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:
From Instructions to Intrinsic Human Values – A Survey of Alignment Goals for Big Models
馃敩 Research Summary by Jing Yao, a researcher at Microsoft Research Asia, working on AI value alignment, interpretability and societal
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
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
馃敩 Research Summary by Lauren Arthur, Marketing Director at Hazy, a leading synthetic data company. [Original paper by Georgi Ganev, Jason
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
Conversational Swarm Intelligence (CSI) Enhances Groupwise Deliberation
馃敩 Research Summary by Louis Rosenberg, PhD, Chief Scientist of Unanimous AI and a former professor at California State University. [Original
Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making
馃敩 Research Summary by Devansh Saxena, a Presidential Postdoctoral Fellow at Carnegie Mellon University in the Human-Computer Interaction Institute. He
The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance
馃敩 Research Summary by Blair Attard-Frost, a PhD Candidate and SSHRC Joseph-Armand Bombardier Canada Graduate Scholar at the University of Toronto鈥檚