🔬 Research Summary by Virginie Do and Nicolas Usunier Virginie Do is a former PhD student at Meta AI (Facebook AI Research) and PSL University Nicolas Usunier is a research scientist at Meta AI (Facebook AI … [Read more...] about Fair allocation of exposure in recommender systems
Health
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
🔬 Research Summary by Dasha Pruss, a postdoctoral fellow at the Berkman Klein Center for Internet & Society and the Embedded EthiCS program at Harvard University. Dasha’s research focuses on algorithmic … [Read more...] about Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument
AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
🔬 Research Summary by Lauren Wilcox, Ph.D. (she/her) is a Senior Staff Research Scientist and Group Manager of the Technology, AI, Society, and Culture (TASC) team, part of Responsible AI and Human-Centered Technology in … [Read more...] about AI Consent Futures: A Case Study on Voice Data Collection with Clinicians
A Holistic Assessment of the Reliability of Machine Learning Systems
🔬 Research Summary by Anthony Corso, Ph.D., Executive Director of the Stanford Center for AI Safety and studies the use of AI in high-stakes settings such as transportation and sustainability. [Original paper by … [Read more...] about A Holistic Assessment of the Reliability of Machine Learning Systems
Never trust, always verify: a roadmap for Trustworthy AI?
🔬 Research Summary by Lionel Tidjon, PhD is the Chief scientist & Founder at CertKOR AI and Lecturer at Polytechnique Montreal. [Original paper by Lionel Tidjon and Foutse Khomh] Overview: Bringing AI … [Read more...] about Never trust, always verify: a roadmap for Trustworthy AI?