Technical Elements of Machine Learning for Intellectual Property Law

Artificial Intelligence and Intellectual Property, 2020

20 Pages Posted: 18 Jul 2020

See all articles by Anthony Man-Cho So

Anthony Man-Cho So

The Chinese University of Hong Kong (CUHK)

Date Written: March 30, 2020

Abstract

Recent advances in artificial intelligence (AI) technologies have transformed our lives in profound ways. Indeed, AI has not only enabled machines to see (e.g., face recognition), hear (e.g., music retrieval), speak (e.g., speech synthesis), and read (e.g., text processing), but also, so it seems, given machines the ability to think (e.g., board game-playing) and create (e.g., artwork generation). This chapter introduces the key technical elements of machine learning (ML), which is a rapidly growing sub-field in AI and drives many of the aforementioned applications. The goal is to elucidate the ways human efforts are involved in the development of ML solutions, so as to facilitate legal discussions on intellectual property issues.

Keywords: Machine Learning, Artificial Intelligence, Intellectual Property Law, Technology

Suggested Citation

So, Anthony, Technical Elements of Machine Learning for Intellectual Property Law (March 30, 2020). Artificial Intelligence and Intellectual Property, 2020, Available at SSRN: https://ssrn.com/abstract=3635942 or http://dx.doi.org/10.2139/ssrn.3635942

Anthony So (Contact Author)

The Chinese University of Hong Kong (CUHK) ( email )

Hong Kong
China

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