Tag: Artificial Intelligence
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Professor Sonia Katyal’s Article The Paradox of Source Code Secrecy was selected for inclusion in the 2020 edition of the Intellectual Property Law Review, an anthology published annually by Thomson Reuters (West). This article was originally published in 104 Cornell L. Rev. 1183 (2019). Abstract In Lear v. Adkins, the Supreme Court precipitously wrote, “federal…
Bryan Casey & Mark A. Lemley
As robots and artificial intelligence (AI) increase their influence over society, policymakers are increasingly regulating them. But to regulate these technologies, we first need to know what they are. And here we come to a problem. No one has been able to offer a decent definition of robots and AI—not even experts. What’s more, technological…
Sonia K. Katyal, Haas Distinguished Chair and Chancellor’s Professor of Law, University of California at Berkeley.
Today, the government relies on machine learning and AI in predictive policing analysis, family court delinquency proceedings, parole decisions, and DNA and forensic science techniques, among other areas, producing a fundamental conflict between civil rights and automated decisionmaking. Ground zero for this conflict, I argue, has become the murky, messy intersection between software, trade secrecy, and public governance. In many…