🔬 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
Privacy & Security
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research
🔬 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
🔬 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
Acceptable Risks in Europe’s Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough
🔬 Research Summary by Dr. Henry Fraser, a Research Fellow in Law, Accountability, and Data Science at the Centre of Excellence for Automated Decision-Making and Society. [Original paper by Henry Fraser and … [Read more...] about Acceptable Risks in Europe’s Proposed AI Act: Reasonableness and Other Principles for Deciding How Much Risk Management Is Enough
Open-source provisions for large models in the AI Act
🔬 Research Summary by Harry Law and Sebastien A. Krier. Harry Law is an ethics and policy researcher at Google DeepMind, a PhD candidate at the University of Cambridge, and postgraduate fellow at the Leverhulme … [Read more...] about Open-source provisions for large models in the AI Act