8:00 AM | THURSDAY, MARCH 21, 2019
BREAKFAST & REGISTRATION Location: APPEL Salon, Toronto Reference Library |
8:45 AM | WELCOMING REMARKS
Pina D'Agostino, Associate Professor, Osgoode Hall Law School; Founder & Director, IP Osgoode |
9:00 - 9:45 AM | THE IMPORTANCE OF DATA TO THE DEVELOPMENT OF AI.
What is data and why is big-data essential for the development of artificial intelligence and machine learning? Looking through the lenses of industry, legal practitioners and leaders in the scholarly community, this panel will set the stage for the sessions that follow by diving into the legal and technical aspects of Data & AI. Jonathan Penney, Assistant Professor of Law; Director, Law & Technology Institute, Schulich School of Law, Dalhousie Univeristy Carole Piovesan, Partner & Co-Founder, Intell Data Law CHAIR: Pina D'Agostino, Associate Professor, Osgoode Hall Law School; Founder & Director, IP Osgoode |
9:45 - 11:15 AM | INTELLECTUAL PROPERTY AT A CROSSROAD
With advancements in technology – especially within the field of artificial intelligence – intellectual property is at a crossroad. This panel considers how anticipated changes will impact patent and copyright laws in Canada, focusing on both practical and theoretical implications. Panelists will also explore whether intellectual property laws should offer protection to artificial intelligence works and inventions Dave Green, Assistant General Counsel, Regulatory Affairs, Microsoft Catherine Lacavera, Director of Intellectual Property, Litigation and Employment, Google Inc. Maya Medeiros, Partner, Norton Rose Fulbright, LLP Shlomit Yanisky-Ravid Piovesan, Faculty Member and Lecturer, ONO Academic Law School and Fordham Law School CHAIR: David Vaver, Professor of IP Law, Osgoode Hall Law School |
11:15 - 11:30 AM | BREAK |
11:30 AM- 1:00 PM | RESOLVING DATA BARRIERS
Many AI tools require access to an enormous amount of data in order to facilitate their development. That being said, the mere availability of data is not enough - good data is needed! Incomplete or biased data can exacerbate problems. Good data, however, might be subject to copyright, which may prove problematic: where an AI’s input infringes copyright, the output may follow suit. This panel will address the ways copyright laws might adapt in order to accommodate the needs of AI and discuss legal alternatives and exceptions, including fair dealing, sui generis AI legislation or carving out specific exceptions for data mining/AI training. Dave Green, Assistant General Counsel, Regulatory Affairs, Microsoft Paul Gagnon, Legal Counsel, Element AI Momim Malik, Data Science Postdoctoral Fellow, Berkman Klein Center for Internet & Society at Harvard University CHAIR: Aviv Gaon, Adjunct Professor, IDC Herzliya |
1:00 - 2:15 PM | LUNCH & KEYNOTE SPEAKER - KANG LEE
Kang Lee, Professor, and Tier 1 CRC Chair in developmental neuroscience at the University of Toronto "Affective Artificial Intelligence & Law: Opportunities, Applications, and Challenges” |
2:15 - 3:45 PM | BIG DATA & HEALTH & SCIENCE
Governments, researchers, care providers and private industry all recognize the incredible potential big data has to help advance scientific knowledge and improve both healthcare service deliver and patient outcomes. Using big data in health and science can be a real challenge however. What data can we collect, who can we collect it from, and how can we understand and use it? Pina D'Agostino, Associate Professor, Osgoode Hall Law School; Founder & Director, IP Osgoode Victor Garcia, Managing Director & CEO, ABCLive Corporation James Elder, Professor at the Lassonde School of Engineering & York Research Chair in Human and Computer Vision, York University Ian Stedman, Fellow in AI Law & Ethics at SickKids' Centre for Computational Medicine CHAIR: Terry Sachlos, Assistant Professor, Department of Mechanical Engineering and the Associate Director of the Bergeron Entrepreneurs of Science and Technology (BEST) Initiative, Lassonde School of Engineering |
3:45 - 5:15 PM | WHAT MAKES A SMART CITY?
Sidewalk Toronto challenges us to consider what the role of government is in deciding how private sector actors can collect data in public spaces. What is the right way to balance concerns about consent and privacy against the broader interest in supporting innovation? The Honourable Jeff Lehman, Mayor, City of Barrie Neetika Sathe, Vice President, Advanced Planning, Alectra Inc. John Weigelt, National Technology Officer, Microsoft Canada Inc Natasha Tusikov, Assistant Professor, Dept. Social Science, York University; The City Institute at York University CHAIR: Pamela Robinson, Associate Dean, Graduate Studies and Strategic Initiatives, Faculty of Community Services, and Associate Professor, School of Urban and Regional Planning, Ryerson University |
5:30 - 7:00 PM | COCKTAIL RECEPTION & SHOWCASE |