Keynote: Navigating Responsible AI: A Roadmap to Effective Governance with Carole Piovesan
Abstract: The responsible deployment and governance of AI is becoming ever more pressing. This presentation dives into the critical intersection of responsible AI and effective governance, addressing the evolving ethical considerations and regulatory challenges. We will examine the foundational elements of responsible AI and discuss some of the complexities inherent in crafting and implementing AI governance frameworks, including operational dynamics.
Drawing on interdisciplinary insights, this presentation advocates for the development of ‘fit-for-purpose’ governance strategies that reconcile innovation with societal well-being. Whether it involves fostering ethical AI research or navigating regulatory landscapes, the discourse underscores the importance of forging a path towards AI governance that is both principled and pragmatic.
Bio: Carole is Managing Partner at INQ Law, focusing her practice on privacy, cyber incident response, 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 a leading law firm. A seasoned litigator, 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 a member of the OECD.AI Policy Observatory, and has contributed to numerous organizations including in the Global Partnership on AI, the Global Task Force to Promote Trusted Sharing of Data at the German Marshall Fund of the United States, the Standards Council of Canada’s Data Governance Collaborative, and the National Advisory Council on AI in Healthcare.
Carole regularly teaches, speaks and writes on topics related to cybersecurity, privacy, data law and AI. She has been featured on the CBC, the Globe and Mail, The Logic, and Betakit. She has testified before Canada’s House of Commons Standing Committee on Access to Information, Privacy and Ethics and the Industry Committee. Carole is also an adjunct professor at the University of Toronto, Faculty of Law where she lectures on AI regulation. She is the co-editor of Leading Legal Disruption: Artificial Intelligence and a Toolkit for Lawyers and the Law, published by Thomson Reuters (2021).
Keynote Panel: Pondering AI with Kimberly Nevala and George Siemens
Kimberly Nevala is a Strategic Advisor at SAS. Kimberly is responsible for market analysis, industry education, emerging best practices and strategies in the areas of advanced analytics and AI. She has over 20 years experience helping organizations worldwide develop robust, achievable strategies, manage change, and navigate tough issues including ethics, governance and technology adoption.
As host of the Pondering AI podcast, Kimberly solicits insights from leading AI researchers, advocates and leaders on a broad range of emerging topics. She frequently speaks, writes and leads spirited debates about data-driven culture, the future of data and analytics, and responsible innovation with AI.
George Siemens researches how human and artificial cognition intersect in knowledge processes. He is co-founder, Chief Scientist and Architect of SNHU’s Human Systems – an organization building resources to respond to the systemic impact of AI on learning and wellness. He is the founding Director and Professor of the Center for Change and Complexity in Learning (C3L) at University of South Australia and developed the Masters of Science in Learning Analytics at University of Texas at Arlington. He has delivered keynote addresses in more than 40 countries on the influence of technology and media on education, organizations, and society. His work has been profiled in provincial, national, and international newspapers (including NY Times), radio, and television. He has served as PI or Co-PI on grants funded by NSF, SSHRC (Canada), OLT (Australia), Intel, Boeing, Bill & Melinda Gates Foundation, and the Soros Foundation. He has received numerous awards, including honorary doctorates from Universidad de San Martín de Porres and Fraser Valley University for his pioneering work in learning, technology, and networks. He holds an honorary professorship with University of Edinburgh.