Artificial intelligence (AI) is becoming a driver of transformation across industries and societies globally. This tool has the potential to influence the way we work, learn and play, as well as helping us to address some of the most pressing global challenges. However, a number of concerns remain to be addressed, including privacy, security, misinformation, bias and discrimination.

In this webinar, the panellists will discuss current AI use in the UK and Japan, as well as the regulatory landscape, key challenges, and policy recommendations that can benefit society as a whole.

About the contributor

Professor Hiroki Habuka

Hiroki Habuka is a Research Professor at the Graduate School of Law, Kyoto University, and the CEO of Smart Governance Ltd. Hiroki specialises in agile governance, a multi-stakeholder and distributed governance model that integrates regulation, corporate governance, and system risk management, particularly in the field of AI and data. In 2020, the World Economic Forum’s Global Future Councils on Agile Governance recognized him as one of the World’s 50 Most Influential People Revolutionising Government (Agile 50). Hiroki holds a Master’s degree in Law (LLM, Fulbright Fellow) from Stanford Law School, a Juris Doctorate from the University of Tokyo Law School, and is qualified to practise law in Japan and New York State. He is the author of the book Introduction to AI Governance: From Risk Management to Social Design (2023). He is also the Representative Director of Japan’s AI Governance Association, a Visiting Associate Professor at the University of Tokyo, and a Non-Resident Fellow at the Center for Strategic and International Studies (CSIS)

Professor Brent Mittelstadt

Professor Brent Mittelstadt is Professor of Data Ethics and Policy at the Oxford Internet Institute (OII) at the University of Oxford, and the OII’s Director of Research.  He also coordinates of the Governance of Emerging Technologies (GET) research programme which works across ethics, law, and emerging information technologies. He is a leading data ethicist and philosopher specializing in AI ethics, professional ethics, and technology law and policy. In his current role he leads the Trustworthiness Auditing for AI project, a three-year multi-disciplinary project with University of Reading cutting across ethics, law, computer science, and psychology to determine how to use AI accountability tools most effectively to create and maintain trustworthy AI systems.