Thinking Machines and Patent Law

Liza Vertinsky, Thinking Machines and Patent Law, Chapter to be included in Research Handbook of Artificial Intelligence, Edward Elgar Publishing (2018, Forthcoming).

Emory Legal Studies Research Paper

23 Pages Posted: 9 Oct 2017  

Liza Vertinsky

Emory University School of Law

Date Written: September 12, 2017

Abstract

This chapter focuses on the challenges that a thinking machine paradigm of invention - one in which thinking machines play significant and sometimes dominant roles in the invention process - creates for U.S. patent law. It examines the disconnect between a thinking machine paradigm and the traditional model of invention that lies at the heart of patent law, explores some of the doctrinal challenges and practical problems that result from this disconnect, and concludes with four considerations to inform a patent policy response.

Keywords: patents, artificial intelligence, innovation

Suggested Citation

Vertinsky, Liza, Thinking Machines and Patent Law (September 12, 2017). Liza Vertinsky, Thinking Machines and Patent Law, Chapter to be included in Research Handbook of Artificial Intelligence, Edward Elgar Publishing (2018, Forthcoming).; Emory Legal Studies Research Paper. Available at SSRN: https://ssrn.com/abstract=3036030 or http://dx.doi.org/10.2139/ssrn.3036030

Liza Vertinsky (Contact Author)

Emory University School of Law ( email )

1301 Clifton Road
Atlanta, GA 30322
United States

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