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Friday, October 11 • 11:45am - 12:45pm
The Legal Risks and Implications of Artificial Intelligence (AI)

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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 (IP) legal strategy. Experienced IP attorney Kevin Pasquinelli, well-versed in both the legal and technology industries, and associate attorney François Ecclesiaste of the national law firm of Robins Kaplan LLP address solutions unique to these AI-related issues.
Speakers
avatar for Kevin M. Pasquinelli

Kevin M. Pasquinelli

Counsel, Robins Kaplan LLP
Kevin M. Pasquinelli, is an intellectual property attorney at Robins Kaplan, LLP with more than 20 years of experience working in the technology industry, before becoming an attorney. His professional background incorporates a wide range of technologies and products, including digital... Read More →
avatar for François O. Ecclesiaste

François O. Ecclesiaste

Associate, Robins Kaplan
François Ecclesiaste is an associate in the Intellectual Property and Technology Litigation group at Robins Kaplan LLP. He has experience in litigating and advising clients in a number of complex and high-stakes matters, including patent, trademark, and copyright infringement, as... Read More →

Friday October 11, 2019 11:45am - 12:45pm CDT
Metropolitan State University - Library 329
  Machine Learning & AI

Attendees (32)