Bridging Adaptive Algorithms and the Public Good

Pulitzer Prize-winning tech journalist John Markoff chats with 2022-23 CASBS fellow Nathan Matias about often-overlooked public interest questions and concerns regarding the deployment of tech platform algorithms and AI models. Specifically, Matias is a player in filling the two-way knowledge gaps between civil society and tech firms with an eye on governance, safety, accountability, and advancing the science — including the social science — of human-algorithm behavior.

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Conversations about projects and research undertaken by scholars & affiliates of the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University; interviews with renowned fellows from CASBS history; and audio versions of some CASBS live events. CASBS is a scholarly community like no other for collaborative, cross-disciplinary, generative research. It brings together deep thinkers to address wicked problems and significant societal challenges. It empowers them to challenge boundaries and assumptions in order to advance our understanding of the full range of human beliefs, behaviors, interactions, and institutions. As a leading incubator of human-centered knowledge, CASBS is a place that is, well…human centered. Producer: Mike Gaetani | Engineer & co-producer: Joe Monzel Learn more about CASBS> website: casbs.stanford.edu | X: @CASBSStanford | LinkedIn: CASBS at Stanford |