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

November 2020
Explaining the Almost Unexplainable
David Prange, Benjamen Linden, Vivek Biswas - Intellectual Property Magazine
October 2, 2020
Does an AB Rating Fill Out a Skinny Label?
Jeffrey Alan Hovden, Oren D. Langer
September 22, 2020
Herbal Patent Protection
Shui Li - 闻宁阁 American Intellectual Property
August 26, 2020
INSIGHT: Avoiding Trade Secret Claims After Seeing a Competitor’s Crown Jewels
Jake Holdreith, David Prange, Emily Tremblay - Bloomberg Law
Back to Top