Dealing with the Brussels Effect: How should Japanese companies prepare for the EU-AI Act?
Date(s) | Wednesday, 11 December 2024, 12:00-13:00 JST |
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Venue |
ZOOM Webinar (Register here) |
Registration | Pre-registration required (If you cannot attend on the day but would like to be informed of the youtube link later, please register) |
Language | Japanese only |
Abstract |
The “EU-AI Act,” which was established in the EU on May 21, 2024, and came into effect on August 1, is attracting attention as a comprehensive regulation concerning the development and use of AI technology. This Act will be gradually enforced by December 31, 2030, and will apply to all businesses involved in the development and distribution of AI systems (including those provided free of charge, thus also applying to research institutions and development communities).
Currently, about 1,000 participants from general AI model providers, industry, civil society, and academia both within and outside the EU have gathered to begin discussions on the “Code of Practice” for AI. However, there are only a few participants from Japan in these discussions, making it urgent for Japanese companies and organizations to understand the impact of this new Act.
This webinar will outline the overview of the EU-AI Act, the activities of four working groups involved in the formulation of the Code of Practice, and important points that Japanese companies and organizations should particularly pay attention to.
We look forward to the participation of companies, research institutions, and development communities involved in the development, provision, and distribution of AI-related technologies as an opportunity to deepen understanding of the “Brussels Effect” brought about by EU regulatory trends and its impact on Japan. |
Program |
12:00-12:10
12:10-12:35
12:35-13:00 Panelists Moderator |
Organized by | Tokyo College, The University of Tokyo; Institute for Future Initiatives, The University of Tokyo; Next Generation Artificial Intelligence Research Center, The University of Tokyo |
Supported by | Japan AI Safety Institute (tentative), AI and Law Society, Osaka University Research Center on Ethical, Legal and Social Issues, Japan Deep Learning Association |
Contact |
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