🔬 Research Summary by Ann Speed, a PhD in Cognitive Psychology and has worked across numerous disciplines in her 22-year career at Sandia National Laboratories. [Original paper by Ann Speed] Overview: … [Read more...] about Assessing the nature of large language models: A caution against anthropocentrism
Research Summaries
Designing Fiduciary Artificial Intelligence
🔬 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
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