AI: Intelligence Machines, Smart Policies

20 December 2017 - A Workshop on Other in Geneva, Switzerland


Co-organised by the OECD and the Ministry of Internal Affairs and Communication of Japan.

Session Format: Panel - 90 Min

Workshop contacts: Karine Perset, Nobu Nishigata, Yuki Yokomori

Speaker bios
Wonki Min
Masahiko Tominaga
Karine Perset / Anne Carblanc
Joanna Bryson
Carolyn Nguyen
Karen McCabe
Jean-Marc Rickli

Session content:
The panel will consider some of the social and economic policy considerations raised by Artificial Intelligence (AI), notably its implications for productivity, jobs, skills and education, but also issues related to ethics, safety and responsibility.

Following an introduction to Artificial Intelligence (1. Introduction), the panel will provide an overview of the state of AI development today including recent break-through and key applications and opportunities offered by AI (2. Key AI opportunities and challenges, today and tomorrow). Panellists will be asked to share their insight on key opportunities and challenges raised by AI and on public policy priorities (3. Public policy priorities for AI). These may include AI's implications for public sector services and areas like healthcare, transportation or the environment, AI's impact on growth and productivity, jobs and skills, control and competition issues, and legal and ethical questions.
Session relevance:
AI stands to help address key global challenges and deliver considerable benefits, but also creates challenges linked, among others, to inequality, privacy, and discrimination. Self-learning algorithms already greet us on our digital devices, influence our purchases, govern our newsfeeds, and will soon drive our cars. As AI exploits data to drive innovation forming a key 21st century source of growth and well-being, the transformative effects of AI are bound to expand further in a wide array of domains. How can we ensure that this technology benefits people widely? If AI and autonomous machines are to play a central role in our everyday lives, what sort of frameworks should guide their design? Important questions grow increasingly important and require the co-operation of all stakeholders.

Tag 1: Artificial Intelligence
Tag 2: Digital Transformation
Tag 3: Emerging Issues

 • Mr. Masahiko Tominaga: Japan has taken leadership in considering how AI will impact society and in thinking through how to shape the development of AI to benefit people widely. MIC will provide an overview of its work and conclusions to date.
• Ms. Karine Perset / Ms. Anne Carblac: will provide an overview of the emerging work of the OECD on AI
Dr. Joanna Bryson: will present the viewpoint of an AI researcher on ethical considerations raised by AI. 
• Ms. Karen McCabe: will provide insight on the IEEE initiative on Advancing technology for the benefit of humanity.
• Mr. Wonki Min: as Chair of the OECD Committee on Digital Economy Policy (CDEP), Wonki will chair the session.
• Dr. Carolyn Nguyen: will present the business view of opportunities and challenges raised by AI and discuss the role of business. Carolyn will present the business “Partnership on artificial intelligence to benefit people and society”.
• Dr. Jean-Marc Rickli: will provide an academic viewpoint, informed by developments of "The AI Initiative", a global civic debate on AI facilitated by the Future Society.
This workshop is designed to provide diverse perspectives. It is balanced first in terms of stakeholder groups, with intergovernmental organisation representation through OECD’s Secretariat and Committee Chair, academic representation through the University of Bath in the United Kingdom and Harvard in the United States, government representation through officials from Japan, private sector representation through Microsoft, as well as technologists' representation through the IEEE and civil society representation through the CSISAC. 
Onsite Moderator: Wonki Min (OECD)
Online Moderator: Nobu Nishigata (OECD)
Rapporteur: Karine Perset (OECD)

Online Participation:
Remote participation will be facilitated by the remote moderator to ensure remote participants’ views/questions are reflected. The workshop will be promoted during the IGF on OECD’s websites and via social media, through the hashtag #goingdigital
Discussion facilitation:
 The panel is structured around two main points: key AI opportunities and challenges and public policy priorities for AI.
Conducted a Workshop in IGF before?: Yes
Link to Report:

Additional Reference Document Link:


  1. Welcome and introduction
  • Mr. Wonki Min, Chair of the OECD Committee on Digital Economy Policy (CDEP) (3 min) – The OECD’s work on AI
  • Mr. Masahiko Tominaga, Vice Minister for Policy Coordination, Ministry of Internal Affairs and Communications (10-12 min) – Japan’s work to consider AI’s impact on society and needed public policy response to ensure that AI benefits people widely

2. Public policy priorities for AI

  • Ms Karine Perset, Economist, Digital Economy Policy Divisiion at the OECD / Ms. Anne Carblanc, Head of Digital Economy Policy Division at the OECD (7min) - Introduction to the OECD's work on AI.
  • Dr. Joanna Bryson, Reader at University of Bath, and Affiliate, Center for Information Technology Policy at Princeton University (7 min) - Ethical Considerations in Artificial Intelligence and Autonomous Systems’.
  • Dr. Carolyn Nguyen, Director of Technology Policy, Microsoft (7 min) - Opportunities and challenges raised by AI from a business view and insight on the 'Partnership on Artificial Intelligence to Benefit People and Society'.
  • Ms. Karen McCabe, Senior Director, Technology Policy and International Affairs, IEEE Standards Association (7 min) - Insight on IEEE 'Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems'.
  • Dr. Jean-Marc Rickli, Global Risk and Resilience Cluster Leader, in the leadership, Crisis and Conflict Management Programme (7 min) - Academic viewpoints from the global civic debate of 'The AI Initiative'.

3. Panel Discussion – the role of different stakeholders in developing a framework to benefit from AI widely and manage AI-related risks (20 min)4. Comments and questions from in-person and remote workshop attendees (10 min)

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