Description

Open source software is everywhere.  It’s readily downloaded from GitHub and copied from Stack Overflow.  Many popular AI/ML tools and libraries, such as TensorFlow, Scikit Learn, PyTorch and Caffe, are available pursuant to open source licenses.  Open source software provides immense benefits and must be used purposefully to avoid the associated risks.

Join this introductory session to gain insights into the legal aspects of open source software and the intersection with AI/ML with leading open source legal experts, Wael Nackasha and Anthony Decicco, from GTC Law Group.  We’ll cover: 

  • An introduction to open source software and the software supply chain
  • The key benefits and risks of open source software, including for AI projects
  • The spectrum of open source licenses
  • Open source licenses for AI projects
  • Releasing an AI project as open source

This session will take place on January 10, 2023 from 12:00 - 1:00 PM.

For more information, please feel free to contact junid.ebadi@vectorinstitute.ai  

Speakers

Anthony Decicco is a member in GTC’s IP Strategy, Mergers & Acquisitions, and Business & Technology Transactions groups. He focuses on mergers and acquisitions, strategic development of patent portfolios, valuing and commercializing intellectual property assets, and licensing and other technology-related transactions. In addition, Tony founded and oversees the firm’s Open Source Compliance and Due Diligence practice and has extensive experience advising clients regarding the use of open source software. He has reviewed the results of literally thousands of code scans.

Tony’s clients range from individual inventors to Fortune 100 companies. Given his extensive experience on both the buy and sell sides of mergers and acquisitions, patent purchases/sales and IP/technology licensing transactions, he is a trusted advisor to clients on all sides of the table. For acquirers, a key strength is his ability to leverage this experience to quickly identify and assess IP-related risks. On the sell side, this experience translates to grooming clients and positioning IP assets to maximize value and minimize issues during rigorous due diligence.

Prior to joining GTC, Tony was a member of the IP & Technology, Internet & E-Commerce and M&A practice groups at Skadden, Arps, Slate, Meagher & Flom. He has research and professional experience in a diverse range of fields, including patent valuation, law and economics, molecular evolution, apoptosis, and lipid biochemistry. Tony holds an Honors B.Sc. in Biochemistry from McMaster University, an M.A. in Economics and a J.D., both from the University of Toronto, where he was a law review editor. He is admitted to practice in Massachusetts, New York, Ontario, and before the United States Patent and Trademark Office (with Limited Recognition).

Wael Louis Nackasha focuses on M&A due diligence and technology-related transactional matters. Wael specializes in open source software licenses, commercial licenses, strategic and commercially-sensitive NDAs, and IP strategy advice. Wael also has deep technical knowledge in machine learning. Before joining GTC, Wael was an Associate at Ridout and Maybee LLP where he drafted and prosecuted patents for various technologies, including electrical, machine learning, blockchain, telecommunication, and computer-related technology, before both the USPTO and CIPO.

Before becoming a technology attorney, Wael was a research scientist and software programmer for several years. He published scientific papers in conferences and journals in machine learning, biometrics, computer vision, signal and image processing, and statistical signal processing. Wael holds a J.D. from Osgoode Hall Law School, and a Ph.D. in Electrical and Computer Engineering from the University of Toronto with a dissertation focused on artificial intelligence.

Commercialization education sessions give Vector researchers and FastLane SMEs a chance to connect with and hear from experienced industry specialists on a range of topics, including venture capital, contract law, intellectual property and AI, patent eligibility, and entrepreneurship.

Open to SMEs that have signed up for Vector’s Fastlane Program. Open to current and former Vector researchers, Vector Scholarship in Artificial Intelligence recipients, students and alumni from Vector-recognized master’s programs, students of Vector Faculty Affiliates, Vector Interns, and Vector Postgraduate Affiliates. Your registration will be cancelled if you do not meet this criterion.