This OpenChain webinar will focus on the current legal landscape of AI, covering four main topics: (1) open source and AI, (2) current litigation around AI, (3) an overview of current and forthcoming laws and regulations pertaining to AI, and (4) privacy and data protection and AI, including a case study on scraping biometric data for a facial recognition AI system. It is recommended for all legal, business executive and project management personnel with a remit to engage with open source and/or AI projects and products.
You can join this webinar at 15:00 UTC on the 24th of September 2024 (2024-09-24 15:00 UTC) using this link:
Dial-in details can also be found in our global calendar. No registration necessary:
Speakers
Anthony Decicco
Tony 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 is also the Co-Lead of GTC’s Artificial Intelligence practice and has counseled clients regarding traditional AI/ML (i.e. algorithmic/rules-based) for many years and has more recently focused on generative AI. He specializes in data set licensing and strategies for acquiring and collecting data, developing patent portfolios focused on AI inventions and applications of AI technologies, developing AI-related contract terms, risk assessment and mitigation, and related policies and guidelines, in respect of using AI to generate and test software code and the intersections between open source software and AI. Tony is the co-chair of the AI & Cloud Computing sector of the Licensing Executives Society.
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).
Shea Leitch
Shea Leitch is a member of GTC’s growing Data Privacy group with over 10 years at the forefront of privacy and data protection law. Shea has served as a trusted advisor to multinational companies in an array of industries who rely on her to provide timely, strategic and practical advice as they build and adapt their global privacy and security programs.
Shea provides strategic guidance to clients regarding a wide array of data protection concerns from the ground-up development of enterprise-wide privacy and security compliance programs and cybersecurity assessments, to targeted guidance on discrete privacy and security issues. With CIPP/US and CIPP/E certifications from the International Association of Privacy Professionals, Shea provides tailored guidance on privacy and cybersecurity issues, including regulatory compliance and risk management, security assessments and remediation, security incident preparation and response, and enforcement matters.
Shea also provides targeted guidance on privacy compliance for clients using emerging technologies, including biometrics, artificial intelligence and AdTech. As a strategic advisor, Shea helps clients bring products to market by identifying practical solutions that facilitate business growth and innovation, while mitigating legal and regulatory risk.
Prior to joining GTC, Shea was Counsel at Squire Patton Boggs, LLP. She holds a B.A. in Political Science and Government from The Ohio State University, and a J.D. from The Ohio State University Moritz College of Law.
More About Our Webinars:
This event is part of the overarching OpenChain Project Webinar Series. Our series highlights knowledge from throughout the global OpenChain eco-system. Participants are discussing approaches, processes and activities from their experience, providing a free service to increase shared knowledge in the supply chain. Our goal, as always, is to increase trust and therefore efficiency. No registration or costs involved. This is user companies producing great informative content for their peers.
Stanislav Zakharenko
Stas Zakharenko practices in GTC’s thriving Technology Transactions and Artificial Intelligence groups and has over 18 years of experience at the forefront of intellectual property, technology and digital media law, including as the General Counsel of Audible, Senior Counsel at Amazon and Director of Product and Tech Legal at Netflix. Stas brings a rare blend of deep legal expertise, demonstrated business experience and executive-level leadership to his clients. Stas’ experience spans providing product development legal counseling, negotiating complex technology and content agreements as well as providing strategic legal and business leadership to clients ranging from startups through Fortune 50 companies.
In his most recent role as the Director of Product and Tech Legal at Netflix, Stas advised engineers and data scientists in navigating the rapidly evolving machine learning landscape and growing artificial intelligence wave. Stas’ demonstrated record of deeply understanding the technical intricacies of emerging technologies, in combination with his legal expertise, allows him to deliver practical, forward-looking legal solutions that support and drive innovation.
In addition to holding a J.D. from Boston University, Stas holds a B.A. in Music from Stony Brook University and is an avid musician in community jazz and classical groups.
Wael Nackasha
Wael Louis Nackasha focuses on M&A due diligence and technology-related transactional matters. Wael specializes in open source and commercial software licensing, agreements for the sharing of strategic and commercially sensitive technology, and IP strategy advice, as well as artificial intelligence and generative artificial intelligence related matters, including risk management, policies, and assessment of training datasets.
Wael drafts and prosecutes patent applications covering a wide range of technologies, including machine learning, blockchain, electrical, telecommunications, and computer-related technology. Before joining GTC, Wael was an Associate at Ridout and Maybee LLP where he practiced before both the USPTO and CIPO.
Prior to becoming an attorney, Wael spent several years as a research scientist and software developer. He has published scientific papers in conferences and journals on machine learning, biometrics, computer vision, signal and image processing, and statistical signal processing. Wael holds a J.D. from Osgoode Hall Law School, a Ph.D. and a Master of Applied Science in Electrical and Computer Engineering from the University of Toronto with dissertations focused on artificial intelligence, and a Bachelor of Engineering in Electrical Engineering from Ryerson University (renamed as Toronto Metropolitan University).
In his Ph.D. dissertation titled “Online and Continuous Electrocardiogram (ECG) Biometric System” (2017), Wael proposed a biometric system for continuously monitoring the identity of subjects using their electrocardiogram signals. The dissertation includes proposing novel feature extraction and detecting and removing abnormal electrocardiogram signals using statistical models.
In his Master of Applied Science dissertation titled “Weakly Trained Parallel Classifier and CoLBP Features for Frontal Face Detection in Surveillance Applications” (2010), Wael developed a computer vision system for face detection using novel discriminative features.
