Given the recent dramatic increases in AI language modeling capabilities, Professors Ed Felten (Princeton), Rob Seamans (New York University), and Manav Raj (University of Pennsylvania) collaborated to explore how ChatGPT and other AI language modelers will affect jobs and industries.
Articles by Professor Anita Allen of the University of Pennsylvania School of Law and Professor Paul Schwartz of the University of California, Berkeley, School of Law have been honored with the FPF’s Privacy Papers for Policymakers Award.
Stanford Professor Erik Brynjolfsson discusses the perils of focusing AI development on systems that outmatch human capabilities as opposed to systems that complement humans.
In a new article, George Washington Law professor and privacy expert Daniel Solove contends that privacy law requires rethinking. “Data Is What Data Does…” explains that privacy law “protections should be based on the use of personal data and proportionate to the harm and risk involved with those uses.”
Stanford economics professor Nicholas Bloom shared his learnings from two decades of researching remote work on the Recalibrate Reality podcast. Professor Bloom states, “The reality of 2022 onwards is that hybrid is here to stay.”
Contextual integrity (CI) was first proposed by Helen Nissenbaum in 2004 as a new framework for reasoning about privacy. The 4th Symposium on Applications of Contextual Integrity showcased novel research and fostered generative interaction using Contextual Integrity to reason about privacy.
Introduction to several recent articles by TAP scholars that explore the impact of artificial intelligence technologies on gender equity, algorithmic decision-making, cost and rating collusion, free speech, and trade secrecy.
In a UVA Common Law podcast, privacy law expert Neil Richards, law professor at Washington University in St. Louis, joins University of Virginia law professor Danielle Citron to discuss how privacy regulation could ensure that information cannot be used to gain control and influence others.
In a new paper, Michael Impink, doctoral candidate in Strategy at NYU Stern School of Business, examines the tradeoff between efficiencies gained from outsourcing IT and the ability to differentiate digital products.
A recap of some of the books written by TAP scholars in 2022. These books examine technology policy issues ranging from the prediction power of artificial intelligence, privacy and surveillance, cybersecurity, and quantum computing.
Stanford Professor Erik Brynjolfsson talked about how humans and artificial intelligence can work together, and how AI is already changing work.