Karen Levy

@karenlevy.bsky.social

Law/tech, surveillance, work, truckers. Faculty Cornell Information Science, Cornell Law / Fellow @NewAmerica / Data Driven: http://tinyurl.com/57v559mv / www.karen-levy.net

just posted a new paper, How Tech Took Over, to SSRN. It's about how decades of legal and policy interventions made the tech industry an essential partner in public governance. I map the kinds of functions tech cos are performing today, and I argue that their activities are salient to con law.

How Tech Took Over

Technology firms play key roles in public governance. Their products enable forms of reasoning and data processing that modern agencies must use. Their data per

papers.ssrn.com

AI in the workplace isn’t just automation. Workers report discrimination, intensified workloads, and even automated firing. New state policies aim to center workers, write Mishal Khan and Annette Bernhardt from our Technology and Work Program. www.techpolicy.press/evaluating-t...

Evaluating Trends and Challenges in State Regulation of Workplace Technologies | TechPolicy.Press

The 2025 US state legislative session has been something of a watershed moment for tech and work policy, write Mishal Khan and Annette Bernhardt.

techpolicy.press

Another great issue from the @contexts.org crew! Check out @kaareeenah.bsky.social's review of @karenlevy.bsky.social's Data Driven and Madison Van Oort's Worn Out! - journals.sagepub.com/doi/epdf/10.... - I really appreciate the part on moving from an either/or to a both/and approach to organizing.

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Contexts Magazine@contexts.org · 10mo ago

🚨New Issue Out Now!! Open Access!! Navigate all the fresh #sociology with our clickable table of contents (contexts.org/articles/su2...), listen to the issue's companion playlist (open.spotify.com/playlist/5PB...), and read the "digest" (mailchi.mp/ea0c38553548...) to learn more!

I used to focus on left versus right. Now I’m much more worried about the money at the top. But while it might seem strange to say it, I think this is a hopeful way of looking at the world that opens the door to coalitions that seemed impossible before. My first for the @newrepublic.com:

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It's finally public! 🎉 Excited to announce I'll be joining UIUC's iSchool as an Assistant Professor in Fall 2026. My lab will focus on AI information ecosystems, computational social science, and social computing. I will start recruiting PhD students this cycle, so please reach out if interested.

iSchool at Illinois@ischoolui.bsky.social · last yr.

The #iSchoolUI is pleased to announce that Marianne Aubin Le Quéré (@mariannealq.bsky.social) will join the faculty as an assistant professor in August 2026. Her work traces how AI and other emerging technologies impact online news and civic information ecosystems. ▶️ bit.ly/4kObZ0l

photo of Marianne Aubin Le Quéré

I spoke with @annlarson.bsky.social about how store tech can increase demands on frontline retail workers, for her latest in The Nation! Workers often have to make shoppers feel better when store tech frustrates or confuses them, making retail work more socially and relationally demanding:

Text from article: Automation may also have unintended social consequences. Pegah Moradi, a PhD candidate and researcher in Information Science at Cornell University, studies automation in retail. “When [an electronic shelf label] breaks down in the store,” she explained, “the worker has to repair the system even if they don’t have the technical expertise. The customer becomes frustrated: There is no price available, or why has the price changed? The burden falls on the employee to alleviate the tension of that situation.” The technology may put employees in the position of performing what Moradi calls “relationship management,” adding social pressure to service jobs but without additional pay or training.
The Nation Magazine@thenation.com · 2y ago

Electronic price labels are prone to malfunction, which forces employees to work harder to make it clear to shoppers what they would be charged at checkout. What is the logic of retailers spending money on glitchy technology that doesn’t improve service?

Our article on using LLMs to promote health equity is out in New England Journal of Medicine AI! 85% of equity-related LLM papers focus on *harms*. But also vital are the equity-related *opportunities* LLMs create: detecting bias, extracting structured data, and improving access to health info.

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📢 📢 Come join our vibrant interdisciplinary group of about 40 scholars at the Princeton Center for Information Technology Policy working to understand and improve the relationship between technology and society. We are looking at all levels: 🧵