{"href":"https://api.simplecast.com/oembed?url=https%3A%2F%2Fhuman-centered.simplecast.com%2Fepisodes%2Fbridging-adaptive-algorithms-public-good-nbKcDD9z","width":444,"version":"1.0","type":"rich","title":"Bridging Adaptive Algorithms and the Public Good","thumbnail_width":300,"thumbnail_url":"https://image.simplecastcdn.com/images/354744df-ac88-4968-bb9f-59170fc87b6b/04482c91-14f6-455f-966c-09be81afe082/podcast-logo-large.jpg","thumbnail_height":300,"provider_url":"https://simplecast.com","provider_name":"Simplecast","html":"<iframe src=\"https://player.simplecast.com/6deb280e-0749-4d7c-b412-2c2f58241963\" height=\"200\" width=\"100%\" title=\"Bridging Adaptive Algorithms and the Public Good\" frameborder=\"0\" scrolling=\"no\"></iframe>","height":200,"description":"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."}