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Bridging Adaptive Algorithms and the Public Good

Bridging Adaptive Algorithms and the Public Good

Update: 2024-03-25
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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

Explore CASBS: website|Bluesky|X|YouTube|LinkedIn|podcast|latest newsletter|signup|outreach​

Human Centered
Producer: Mike Gaetani | Audio engineer & co-producer: Joe Monzel | 

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Bridging Adaptive Algorithms and the Public Good

Bridging Adaptive Algorithms and the Public Good

Center for Advanced Study in the Behavioral Sciences