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Accelerate AI Project Ideation Plenary – Legal & Compliance Workstream

July 6 @ 3:00 pm - 5:00 pm

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The Accelerate AI | Collaborative Strategies project will address common obstacles to AI implementation. Participants will co-create a framework of best practices and strategies for addressing challenges in AI projects including data sharing, legal & compliance requirements, coordinating resources, skills, and domain expertise, obtaining leadership buy-in, and investment.

As part of the Accelerate AI project, we’ll be offering several plenary sessions to discuss how organizations can prepare themselves to deliver AI solutions, from the perspective of facilitating collaboration across teams (both internally and between organizations).

Ideation Plenary 
Surface ideas to address collaboration challenges and barriers that impede deployment of AI.

  • 3 PM – 5 PM, Tuesday, July 6, 2021: Legal & Compliance Workstream Plenary
  • 3 PM – 5 PM, Wednesday, July 7, 2021: Technology & Operations Workstream Plenary
  • 1 PM – 3 PM, Thursday, July 8, 2021: Governance & Business Workstream Plenary

Workstream Objectives
Legal & Compliance: Identify robust mechanisms to manage exposure to legal and compliance risk from AI initiatives involving multiple business units or organizations

July 6th Agenda:

 

3:00 pm Welcome
3:15 pm From Ideas to Implementation: Operationalizing Responsible AI

Carole Piovesan, Co-founder and Partner, INQ Law

3:35 pm Accelerating the AI Contracting Process:  Tips from the Trenches

Christine Ing, Partner, Technology, McCarthy Tétrault LLP

3:55 pm Best Practices for Deploying AI from a Legal Perspective

Amit Patel, AI Strategy & Enablement Manager, Omnia AI and Strategy, Analytics and M&A Consulting, Deloitte

4:15 pm Trusted Data Sharing Lab

Lisa Austin, Professor and Chair in Law and Technology, Faculty of Law, University of Toronto

Research Lead, Schwartz Reisman Institute for Technology and Society

Ron Bodkin, VP & Chief Information Officer, Vector Institute

Engineering Lead, Schwartz Reisman Institute for Technology and Society

Beth Coleman, Associate Professor of Data & Cities at the Institute of Communication, Culture, Information and Technology and Faculty of Information, University of Toronto

Faculty Affiliate, Schwartz Reisman Institute for Technology and Society

David Lie, Professor, Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto

Research Lead, Schwartz Reisman Institute for Technology and Society

4:25 pm Panel Q&A and Open Discussion

All Panelists and attendees

4:55 pm Wrap-up

This meeting is open to Vector Sponsors, Vector Researchers, and invited health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or invited health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact winnie.au(at)vectorinstitute.ai with any questions.

Speakers:

Carole Piovesan Co-founder & Partner, INQ Law

Carole is managing partner at INQ Law, focusing her practice on privacy, cyber readiness, data governance and artificial intelligence (AI) risk management. She regularly counsels clients on a wide range of matters related to privacy, cyber readiness and breach response, data governance, ethical AI and responsible innovation. Prior to founding INQ Law, Carole was co-lead of the national Cybersecurity, Privacy and Data Management group at McCarthy Tétrault. She has represented clients before all levels of court in Ontario as well as at the Supreme Court of Canada. 

Carole plays an active role in shaping data law, policy and standards in Canada and globally. She is the co-chair of the federal government’s Exposure Notification application. She also co-chairs the data governance working group for the Data Governance Standardization Collaborative at the Standards Council of Canada. She is a member of the Data Governance Working Group for the Global Partnership on AI, as well as an advisor to several AI start-ups.

In 2018, Carole was appointed by the federal Minister of Innovation to serve as one of six Digital Leaders in the national data and digital transformation consultations. In this role, she led consultations with businesses, academics, civil society and industry associations to inform the first national Digital Charter. Announced on May 21, 2019, the Digital Charter has led to significant proposed reforms to Canada’s federal private sector privacy law. Carole regularly teaches, speaks and writes on topics related to data law and AI. She is also co-editing a book on AI and law that will be published by Thomson Reuters in 2021.

 

 

Christine Ing Partner, Technology, McCarthy Tétrault LLP

Christine is an equity partner at McCarthy Tétrault and heads the firm’s National Technology Group and co-heads its Fintech Group.  Christine’s practice focuses on strategic commercial transactions and collaborative arrangements having technology, intellectual property and data at their core. She has extensive experience in all aspects of information technology law, including outsourcing, systems and software acquisitions, systems and software development, licensing, various ASP and SAAS arrangements, complex services agreements and distribution/reseller agreements. Christine is passionate about, and a well-recognized leader in, open banking; machine learning; alternative data; payment systems; blockchain; cybersecurity; cloud services; technology development; and innovative collaborations. She is recognized as a leading lawyer by Chambers Canada: Canada’s Leading Lawyers for Business, Chambers Global: The World’s Leading Lawyers for Business, The Best Lawyers in Canada, Who’s Who Legal: Canada, The Legal 500 Canada and The Lexpert/American Lawyer Guide to the Leading 500 Lawyers in Canada.

 

 

 

AI Strategy & Enablement Manager, Omnia AI and Strategy, Analytics and M&A Consulting, Deloitte

Amit is an experienced lawyer and technology consultant specializing in assisting enterprise businesses evaluate and enable their strategies surrounding the use of data, analytics and AI. This includes supporting the selection, implementation and utilization of AI-enabled technologies to deliver both immediate project-based and long-term business process improvements. His specialty in the legal management consulting domain has helped several legal departments and lines of business across organizations achieve their objectives around implementing process efficiencies, while considering a variety of legal compliance and risk implications in these domains.

 

 

 

 

 

 

 

Lisa Austin
Professor and Chair in Law and Technology, Faculty of Law, University of Toronto
Research Lead, Schwartz Reisman Institute for Technology and Society

Lisa Austin is a professor in the University of Toronto’s Faculty of Law and co-founder of the IT3 Lab, which focuses on interdisciplinary research on privacy and transparency in technology. Her research focuses on legal theory as well as law and technology. Austin’s extensive privacy work has been cited numerous times by Canadian courts, including the Supreme Court of Canada. Austin is a recent winner of U of T’s President’s Impact Award for her work.

 

 

 

 

 

 

 

 

 

VP of AI Engineering and CIO, Vector Institute
Engineering Lead, Schwartz Reisman Institute for Technology and Society

Ron is the VP of AI Engineering and CIO at Vector Institute and is the Engineering Lead at the Schwartz Reisman Institute for Technology in Society. Ron is responsible for leading engineering teams that apply Vector’s leading AI research to industry and health problems for Canada, that develop open source software, and that establish and support world class scientific computing infrastructure to scale the adoption of beneficial AI.

 

Previously, Ron was responsible for Applied Artificial Intelligence in the Google Cloud CTO office where he spearheaded collaborative innovation efforts working with strategic customers and Google AI research and engineering teams. Ron was the founding CEO of Think Big Analytics. Think Big Analytics provided enterprise data science and engineering services and software such as Kylo for enterprise data lakes and data science and was acquired by Teradata in 2014. After the acquisition, Ron led Think Big’s global expansion and created an Artificial Intelligence incubator at Teradata.

 

Previously, Ron was VP Engineering at Quantcast where he led data science and engineering teams that applied Machine Learning for real-time advertising and audience insights. Ron was also Co-Founder and CTO of C-Bridge Internet Solutions. Ron has an honors B.S. in Math and Computer Science from McGill University and a Master’s in Computer Science from MIT.

 

Associate Professor of Data & Cities at the Institute of Communication, Culture, Information and Technology and Faculty of Information, University of Toronto
Faculty Affiliate, Schwartz Reisman Institute for Technology and Society

Dr. Beth Coleman is Associate Professor of Data & Cities at the Institute of Communication, Culture, Information and Technology and Faculty of Information, University of Toronto, where she directs the City as Platform lab. Working in the disciplines of Science and Technology Studies and Critical Race Theory, her research focuses on smart technology & machine learning, urban data, and civic engagement. She is the author of Hello Avatar and multiple articles addressing issues of smart cities, urban data, augmentation & experience design, and critical race, among others. She has presented at leading international conferences and municipal contexts such as CHI; Sharing Cities, Barcelona; Gender and Cities, Geneva; Mars/Waterfront Toronto. Her research affiliations include the Berkman Klein Center for Internet & Society, Harvard University; Microsoft Research; Data & Society Institute, New York; and expert consultant for the European Commission Digital Futures. She is one of the foundational directors of Thriving Cities, Mistletoe Singapore. Her previous academic positions include the Massachusetts Institute of Technology and University of Waterloo. She has a history of international exhibition including venues such as the Whitney Museum of American Art, New Museum of Contemporary Art, and Musée d’Art moderne Paris.

 

 

 

 

Professor, Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto
Research Lead, Schwartz Reisman Institute for Technology and Society

David Lie is a professor in the Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto and an expert in computer security. A pioneer in the field of trusted computing hardware, his seminal work has inspired the low-level technologies that secure mobile payments and fingerprint sensors in today’s smartphones. His current research focuses on securing mobile and embedded devices, making computing systems more trustworthy, and bridging the divide between technology and policy.

 

 

 

 

 

 

 

 

 

 

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