🔬 Research Summary by Ilia Shumailov, a Ph.D. in Computer Science from the University of Cambridge, specializing in Machine Learning and Computer Security. During the PhD under the supervision of Prof Ross Anderson, Ilia … [Read more...] about A Machine Learning Challenge or a Computer Security Problem?
Health
Melting contestation: insurance fairness and machine learning
🔬 Research Summary by Laurence Barry and Arthur Charpentier. Laurence Barry is an independent actuary and a researcher at PARI (Programme de Recherche sur l’Appréhension des Risques et des Incertitudes, ENSAE/ … [Read more...] about Melting contestation: insurance fairness and machine learning
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
🔬 Research Summary by Kate Donahue , a Computer Science PhD student at Cornell who studies on the societal impacts of AI. [Original paper by Kate Donahue, Sreenivas Gollapudi, and Kostas Kollias] Overview: … [Read more...] about When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
Risk of AI in Healthcare: A Study Framework
🔬 Research Summary by Prathamesh Muzumdar, Director of IT services and cloud computing with research focused on Ethical and Fair AI [Original paper by Dr. Apoorva Muley, Prathamesh Muzumdar, George Kurian, and … [Read more...] about Risk of AI in Healthcare: A Study Framework
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
🔬 Research Summary by Griffin Adams, a final year NLP PhD student at Columbia University under Noémie Elhadad and Kathleen McKeown, who will be starting as the Head of Clinical NLP for Stability AI in … [Read more...] about From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting