9:00-9:30. Registration
📹 9:30-10:30. High-level dialogue on consumer policy in the age of AI: Enabling trust, innovation, competitive markets and growth
Opening remarks: Mathias Cormann, OECD Secretary-General
Moderator: Jerry Sheehan, Director, OECD Directorate for Science, Technology and Innovation
Discussion:
- Michael McGrath, EU Commissioner for Democracy, Justice, the Rule of Law and Consumer Protection
- Frank Schwabe, Parliamentary State Secretary, Federal Ministry of Justice and Consumer Protection, Germany
- Stefan Hall, Acting Director General, Consumers International
- Prof. Christoph Busch, Director, European Legal Studies Institute, University of Osnabrück, Germany; Chairman, German Advisory Council on Consumer Affairs; Affiliated Fellow, Yale Information Society Project
10:30-11:00. Coffee break
11:00-12:30. Session 1: Opportunities and risks of AI-powered marketing
Focus:
- Consumer benefits of AI-enabled marketing (e.g. personalisation, choice, savings) and related risks (e.g. deceptive practices, fraud/scams including deepfakes, exploitation of different groups), with a focus on concrete impacts.
- Consumer policy and enforcement approaches to address the challenges and the role of cross border and cross-policy co-operation (e.g. with competition and privacy policy).
12:30-12:45. Group photo
12:45-14:15. Lunch (hosted by Germany)
14:15-15:45. Session 2: Impact of products incorporating AI on consumer health and safety
Focus:
- Impacts of AI products with growing prevalence, such as AI chatbots, AI toys and emerging consumer robots, with a focus on concrete benefits (e.g. real-time hazard detection, adaptive learning) and health risks (e.g. physical and mental health, unpredictable behaviour, dependence).
- Product safety policy and enforcement approaches to address the challenges, and the role of cross-border and cross-policy co-operation (e.g. with consumer policy, competition, health, online safety, AI governance).
15:45-16:15. Coffee break
16:15-17:45. Session 3: Use of AI in consumer policy and enforcement
Focus:
- Examples of current and possible future uses of AI, e.g. to detect deceptive or fraudulent practices – including those that are themselves AI-enabled – and unsafe products or enable more efficient complaint handling and dispute resolution mechanisms.
- Challenges (e.g. data quality/availability, accuracy of tools, resource constraints, transparency, accountability for AI-assisted decisions), ways to overcome them and lessons learnt.
17:45-17:55. Closing remarks
18:00-19:30. Reception