🔬 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
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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
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
🔬 Research Summary by Dustin Wright, a postdoc at the University of Copenhagen working on sustainable machine learning. [Original paper by Dustin Wright, Christian Igel, Gabrielle Samuel, and Raghavendra … [Read more...] about Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI