Bridging Adaptive Algorithms and the Public Good
Human Centered
English - March 25, 2024 15:12 - 42 minutes - 38.8 MB - ★★★★ - 9 ratingsSocial Sciences Science Education social science government governance psychology economics behavioral science institutions anthropology ethics casbs Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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.
Nathan Matias: Cornell University faculty page | CASBS bio | Personal website |
Citizens & Technology Lab
Coalition for Independent Technology Research
Select Matias publications
"Humans and Algorithms Work Together — So Study Them Together" Nature (2023)
"Impact Assessment of Human-Algorithm Feedback Loops" Just Tech, SSRC (2022)
"The Tragedy of the Digital Commons" The Atlantic (2015)
"To Hold Tech Accountable, Look to Public Health" Wired (2023)
Link to more Nathan Matias public writing | Matias on Medium | on LinkedIn |
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Read John Markoff's latest book, Whole Earth: The Many Lives of Stewart Brand (Penguin Random House, 2022)
Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University
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Human Centered
Producer: Mike Gaetani | Engineer & co-producer: Joe Monzel |