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
Privacy & Security
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
Towards Healthy AI: Large Language Models Need Therapists Too
馃敩 Research Summary by Baihan Lin, PhD, a computational neuroscientist and AI researcher at Columbia University and IBM Thomas J Watson Research Center. [Original paper by Baihan Lin, Djallel Bouneffouf, Guillermo … [Read more...] about Towards Healthy AI: Large Language Models Need Therapists Too
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
馃敩 Research Summary by Anna Leschanowsky, a research associate at Fraunhofer IIS in Germany working at the intersection of voice technology, human-machine interaction and privacy. [Original paper by Casandra … [Read more...] about Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
Self-Consuming Generative Models Go MAD
馃敩 Research Summary by Josue Casco-Rodriguez and Sina Alemohammad. Josue is a 2nd-year PhD student at Rice University. He is interested in illuminating the intersection of machine learning and neuroscience from … [Read more...] about Self-Consuming Generative Models Go MAD