AI governance: from principle to practice is an online invitation-only roundtable event, happening on the 8th September 2022, focusing on contemporary and future AI regulation.
This event opens an exciting new series of policymaker/academic exchanges on AI governance & regulation, hosted by ART-AI, addressing a fundamental issue for the future of AI technologies.
The international landscape of AI governance is rapidly transforming and generating a complex set of conditions for the design, development, trade, and use of AI technologies around the globe. Yet, while there is increasing agreement that AI technologies need regulating, there is very little agreement on how this regulation should be done, by whom, at what scale, for whom, and when.
Highly consequential choices are being made now and over the next five years about the conditions for, and purposes of, AI technology design, development and use. These choices will profoundly affect how and for whom AI technologies generate benefits or harms.
This series of workshops aims to facilitate an honest, frank and confidential discussion by policy professionals and academics, about the principles, purposes and practices of AI technology governance in this complex and contested global policy landscape.
In our opening workshop, policy professionals and scholars consider strengths and limits of existing general approaches to AI technology regulation; and identify the key challenges that policymakers and regulators face when trying to develop effective AI regulation in practice, in different social, economic and political contexts.
From this starting point, later roundtables will address specific areas of AI governance: for example, defence, health, employment, education. A series of ‘Key Findings’ papers reporting on the outcomes of each roundtable, will be published on the ART-AI website.
2.00pm Welcome and introductions
2.15pm Round table discussion (academics)
3.30pm Round table discussion (government/regulator/public sector)
4.30pm Synthesis and conclusion
Places are by invitation only and will be allocated on a first come, first serve basis and are limited to 40. For more information about the event and registration enquiries, please e-mail [email protected].
Confirmed roundtable participants
Sophia Ignatidou is Group Manager for Tech Policy at the ICO’s Technology department. The department is working on new and emerging technologies and their impact on information rights and privacy.
Ulises Moya – Director of Artificial Intelligence of the General Coordination of Innovation in the State of Jalisco, Mexico
Ulises is the Director of Artificial Intelligence of the General Coordination of Innovation in the State of Jalisco, Mexico. He is the first director of this area in the public administration in Mexico. One of their current projects in the Jalisco government was selected by the Global Partnership on Artificial Intelligence (GPAI) in 2020 https://thefuturesociety.org/2020/12/17/report-release-with-the-global-partnership-on-ai/. In 2019, he was recognized with the Fulbright García-Robles fellowship.
Benoit Deshaies – Director, Data and Artificial Intelligence, Office of the Chief Information Officer, Treasury Board of Canada Secretariat
Benoit studied computer science at Carleton University in Ottawa. He is Director of data and artificial intelligence policy at the Treasury Board of Canada Secretariat (TBS). He directs the development of the Directive on Automated Decision-Making and the Algorithmic Impact Assessment (AIA). These policy tools ensure that automated decision systems are deployed in a manner that reduces risks to Canadians and federal institutions, and lead to more efficient, accurate, consistent, and interpretable decisions made pursuant to Canadian law.
John is Executive Director of the Council on Extended Intelligence and The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. He is the Founding / current Vice-Chair of the IEEE 7010 Well-being Metric for Autonomous and Intelligent Systems Working Group, Founding Chair of the IEEE 7000 Model Process for Addressing Ethical Concerns During System Design Working Group, Founding / co-chair of The Personal Data and Individual Access Control Committee for The IEEE Global Initiative and Founding / co-chair of the Wellbeing Committee of the IEEE Global Initiative.
Stephanie Ifayemi is Partnership on AI’s new Head of Policy. In this role, she is responsible for designing and executing PAI’s policy strategy. She develops and communicates PAI’s policy, insights, and positions on emerging issues with the AI public policy community, including government representatives and agencies, policymakers, and international organizations. In addition, she collaborates with PAI staff and Partners to identify policy trends and will help shape PAI and Partner work based on these developments. This includes leading the development of policy briefings and bringing together our partners and other key stakeholders through convenings. Stephanie joins PAI from the UK’s Department for Digital, where she led the government’s work on AI standards including designing and launching the UK’s AI Standards Hub. She is a member of the OECD Network of Experts on AI , a representative in bodies such as ISO/IEC, CEN/CENELEC, a Schmidt Futures European International Strategy Fellow and a member of the World Economic Forum’s Defining and Building the Metaverse initiative.
Gabi Commatteo – Policy Advisor at the UK’s Department for Digital, Culture, Media and Sport (DCMS)
Gabriela Commatteo is a Policy Advisor at the UK’s Department for Digital, Culture, Media and Sport (DCMS). Gabi is currently working on the UK’s AI Regulation White Paper.
Ben Green is a postdoctoral scholar in the Michigan Society of Fellows and an assistant professor in the Gerald R. Ford School of Public Policy. Ben studies the ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation.
Fenwick McKelvey is an Assistant Professor in Information and Communication Technology Policy in the Department of Communication Studies at Concordia University. He is currently studying the shaping of artificial intelligence and its legitimacy as a solution to media problems building on his past studies of Network Neutrality and the discoverability of online content.
Adekemi Omotubora holds a PhD and a Master Degree on Information Technology Law from the University of Leeds and is currently teaching law at the University of Lagos, Nigeria. She specialises in investigating the law and regulation of emerging technologies particularly in developing countries. Her research interest spans privacy and data protection, cybersecurity and identify management and the regulation of artificial intelligence across use cases.
Regine Paul is Professor in Political Science, Department of Government, at the University of Bergen in Norway. She has a PhD from Bath University and did post-docs at Bielefeld and Harvard’s Center for European Studies. Her research is in critical political economy and comparative policy studies, with an empirical focus on migration, risk regulation, and artificial intelligence technologies. Regine is Co-Editor of Critical Policy Studies and the Handbook of Public Policy and Artificial Intelligence (Elgar, forthcoming 2024).
Main Image credit: Image by Alan Warburton / © BBC / Better Images of AI / Virtual Human / CC-BY 4.0