🔬 Research Summary by David Shekman , a third-year law student at Northwestern University Pritzker School of Law, will be practicing in San Francisco upon graduation, and is an avid data scientist. [Original … [Read more...] about Designing Fiduciary Artificial Intelligence
Research Summaries
Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
🔬 Research Summary by Michelle S. Lam , a Computer Science Ph.D. student at Stanford University in the Human-Computer Interaction Group, where she builds systems that empower everyday users to actively reshape the design … [Read more...] about Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
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
Science Communications for Explainable Artificial Intelligence
🔬 Research Summary by Simon Hudson , a writer and researcher investigating subjects in AI governance, human-machine collaboration, and Science Communications, and is currently co-leading the core team behind Botto, a … [Read more...] about Science Communications for Explainable Artificial Intelligence
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