Adapt Your IP Strategy for Artificial Intelligence

May 20, 2019

Almost every business is exploring how artificial intelligence and machine learning (“AI/ML”) systems can reduce operational costs, increase efficiency, grow revenue, and improve customers’ experiences. However, the implementation and application of AI/ML technology is drastically different than traditional software and systems. It inputs and applies magnitudes more data. It applies algorithms in unforeseen ways, and outputs expressive content, even without human involvement. This creates new, sometimes unknown, legal risks that must be addressed in any intellectual property legal strategy. This paper discusses all major elements of an IP strategy for AI/ML.

The articles on our website include some of the publications and papers authored by our attorneys, both before and after they joined our firm. The content of these articles should not be taken as legal advice. The views and opinions expressed in this article are those of the author(s) and do not necessarily reflect the views or official position of Robins Kaplan LLP.

Disclaimer

Related Publications

June 2020
Trade Secrets: Safe as Houses
Christopher Larus, David Prange, Alyssa Bixby-Lawson - Intellectual Property Magazine
June 4, 2020
May 6, 2020
Hatch-Waxman Litigation Venue Update Post-Google
Kelsey McElveen, Ellen Levish - Bloomberg Law
May 4, 2020
Explaining The Almost Unexplainable: Source Code Evidence At Trial
David Prange, Benjamen Linden - LegalTech News
April 7, 2020
Protecting Confidential Information When Sheltering in Place
David Prange, Chris Larus - Corporate Counsel
Back to Top