# How to Become an Algorithmic Problem

Page: https://stenobird.com/podcast/the-tech-policy-press-podcast-1378134/how-to-become-an-algorithmic-problem
Text version: https://stenobird.com/podcast/the-tech-policy-press-podcast-1378134/how-to-become-an-algorithmic-problem.md
Podcast: [The Tech Policy Press Podcast](https://stenobird.com/podcast/the-tech-policy-press-podcast-1378134)
Published: 2026-02-22T13:00:00+00:00
Episode link: https://techpolicy.press/how-to-become-an-algorithmic-problem
Audio file: https://episodes.captivate.fm/episode/6d60f8e3-cb6e-4af5-a9f9-c3d38283661a.mp3
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JSON: https://stenobird.com/v1/public/podcasts/the-tech-policy-press-podcast-1378134/episodes/how-to-become-an-algorithmic-problem
Duration seconds: 2794

## Resource

As AI technologies proliferate, a growing number of people are asking what it means to live in a world dominated by algorithms and automated systems—and what gets lost when those systems optimize human behavior at scale. These questions sit at the intersection of political theory, technology policy, and everyday life, and they are drawing scholars from fields well outside computer science into the conversation. José Marichal is a political scientist at California Lutheran University who has been writing and teaching about technology and politics for more than two decades. Marichal's new book, You Must Become an Algorithmic Problem: Renegotiating the Socio-Technical Contract , considers the age of recommendation systems and large language models. Drawing on political philosophy, he argues that individuals have entered into an implicit bargain with technology companies, trading unpredictability and novelty for the convenience of algorithmically curated experience. The consequences of that bargain, he contends, reach beyond personal preference and into the foundations of liberal democratic citizenship.

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## Transcript

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