🔬 Research Summary by Dan Hendrycks, received his PhD from UC Berkeley where he was advised by Dawn Song and Jacob Steinhardt. He is now the director of the Center for AI Safety. [Original paper by Dan Hendrycks, … [Read more...] about Unsolved Problems in ML Safety
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Using attention methods to predict judicial outcomes
🔬 Research Summary by Vithor Bertalan, a Computer Engineering PhD Student at Polytechnique Montréal. [Original paper by Vithor Bertalan and Evandro Ruiz] Overview: We have developed a model to classify … [Read more...] about Using attention methods to predict judicial outcomes
How Different Groups Prioritize Ethical Values for Responsible AI
🔬 Research Summary by Maurice Jakesch, a Ph.D. candidate at Cornell University, where he investigates the societal impact of AI systems that change human communication. [Original paper by Maurice Jakesch, Zana … [Read more...] about How Different Groups Prioritize Ethical Values for Responsible AI
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
🔬 Research Summary by Peizhao Li, a Ph.D. Candidate at Brandeis University working on Machine Learning, with a special interest in Trustworthy and Responsible AI, Algorithmic Fairness, and Deep … [Read more...] about Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Exploiting The Right: Inferring Ideological Alignment in Online Influence Campaigns Using Shared Images
🔬 Research Summary by Amogh Joshi, a high school researcher at the Inf.Eco Lab at the iSchool of the University of Maryland. [Original paper by Amogh Joshi and Cody Buntain] Overview: The US Department of … [Read more...] about Exploiting The Right: Inferring Ideological Alignment in Online Influence Campaigns Using Shared Images