Seminar Titled 'AI Principle Code and Transparency Requirement Compliance' by Takashi Nakazaki, Partner at Anderson Mori & Tomotsune, to be Held on May 20, 2026!!
SSK will host a seminar on May 20, 2026, featuring attorney Takashi Nakazaki, to explain practical corporate measures regarding global AI regulations including Japan's AI Principle Code, the EU AI Act, and US state laws.
📋 Article Processing Timeline
- 📰 Published: April 10, 2026 at 21:00
- 🔍 Collected: April 11, 2026 at 00:25 (3h 25m after Published)
- 🤖 AI Analyzed: April 20, 2026 at 03:44 (219h 19m after Collected)
──────────── [SSK Seminar] ───────────
AI Principle Code and Transparency Requirement Compliance
~Comparison with EU AI Act and US State Laws, and Practical Operations Based on AI Training Scenarios~
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[Seminar Details]
https://www.ssk21.co.jp/S0000103.php?spage=pt_26252
[Speaker]
Anderson Mori & Tomotsune Foreign Law Joint Enterprise
Partner Attorney, Mr. Takashi Nakazaki
[Date and Time]
Wednesday, May 20, 2026, 4:00 PM - 6:00 PM
[Participation Methods]
■ On-site Attendance
SSK Seminar Room
Xymax Nishi-Shimbashi Building 4F, 2-6-2 Nishi-Shimbashi, Minato-ku, Tokyo
■ Live Stream (Zoom Webinar)
■ Archive Stream (Available for 2 weeks, watch as many times as you like at your convenience)
[Key Lecture Content]
In Japan, the draft of the AI Principle Code (tentative name) presents a core framework aimed at generative AI developers and providers, which includes the disclosure of overviews, responding to disclosure requests from right holders, and responding to disclosure requests from users. On the other hand, in the EU, the transparency obligations of the AI Act will apply from August 2, 2026, requiring notifications when interacting with AI, machine-readable labeling of AI-generated content, notifications regarding emotion recognition and biometric categorization, and labeling of AI-generated text regarding deepfakes and matters of public interest. Furthermore, in the EU, obligations for GPAI model providers will apply from August 2, 2025, and the GPAI Code of Practice and training content summary templates are being prepared.
In the US, rather than a unified federal law, transparency regulations are being formed state by state. For example, in Colorado, starting June 30, 2026, developers and deployers of high-risk AI will be required to provide public statements, impact assessments, and consumer notices. Conversely, the obligation to disclose that an AI is indeed an AI for general conversational AI is not a central obligation of the current Colorado AI Act, but is slated to be addressed in a separate conversational AI bill currently under deliberation. In Utah, disclosure obligations and safe harbors have been established for AI interactions in consumer transactions and regulated professions in certain cases. In California, a system has been introduced requiring generative AI developers to document on their websites the sources of training data, types of data, volume ranges, presence of purchases/licenses, and presence of personal information.
This seminar will not merely introduce these systems but will interpret them through practical issues: what Japanese companies should disclose, the extent of their accountability, and how they should confront the issues of training data and copyright. As peripheral topics, we will also cover the basics of AI training and copyright including Article 30-4 of Japan's Copyright Act, practical responses to right holders in Japan, copyright policy and training content summary in the EU, and the impact of litigation and state law trends in the US.
1. Overview of the AI Principle Code and its position in Japan's AI Governance
2. How to perceive "Comply or Explain"
3. The Framework of Disclosure
4. AI Training and Copyright as Peripheral Issues
5. Comparison with Transparency Requirements of the EU AI Act
6. Comparison with Transparency Requirements at the US State Law Level
7. Impact of AI Types (High-Risk AI, Conversational AI, Deepfakes)
8. Q&A Session
*Lecture content is subject to change based on the latest trends.
AI Principle Code and Transparency Requirement Compliance
~Comparison with EU AI Act and US State Laws, and Practical Operations Based on AI Training Scenarios~
─────────────────────────────
[Seminar Details]
https://www.ssk21.co.jp/S0000103.php?spage=pt_26252
[Speaker]
Anderson Mori & Tomotsune Foreign Law Joint Enterprise
Partner Attorney, Mr. Takashi Nakazaki
[Date and Time]
Wednesday, May 20, 2026, 4:00 PM - 6:00 PM
[Participation Methods]
■ On-site Attendance
SSK Seminar Room
Xymax Nishi-Shimbashi Building 4F, 2-6-2 Nishi-Shimbashi, Minato-ku, Tokyo
■ Live Stream (Zoom Webinar)
■ Archive Stream (Available for 2 weeks, watch as many times as you like at your convenience)
[Key Lecture Content]
In Japan, the draft of the AI Principle Code (tentative name) presents a core framework aimed at generative AI developers and providers, which includes the disclosure of overviews, responding to disclosure requests from right holders, and responding to disclosure requests from users. On the other hand, in the EU, the transparency obligations of the AI Act will apply from August 2, 2026, requiring notifications when interacting with AI, machine-readable labeling of AI-generated content, notifications regarding emotion recognition and biometric categorization, and labeling of AI-generated text regarding deepfakes and matters of public interest. Furthermore, in the EU, obligations for GPAI model providers will apply from August 2, 2025, and the GPAI Code of Practice and training content summary templates are being prepared.
In the US, rather than a unified federal law, transparency regulations are being formed state by state. For example, in Colorado, starting June 30, 2026, developers and deployers of high-risk AI will be required to provide public statements, impact assessments, and consumer notices. Conversely, the obligation to disclose that an AI is indeed an AI for general conversational AI is not a central obligation of the current Colorado AI Act, but is slated to be addressed in a separate conversational AI bill currently under deliberation. In Utah, disclosure obligations and safe harbors have been established for AI interactions in consumer transactions and regulated professions in certain cases. In California, a system has been introduced requiring generative AI developers to document on their websites the sources of training data, types of data, volume ranges, presence of purchases/licenses, and presence of personal information.
This seminar will not merely introduce these systems but will interpret them through practical issues: what Japanese companies should disclose, the extent of their accountability, and how they should confront the issues of training data and copyright. As peripheral topics, we will also cover the basics of AI training and copyright including Article 30-4 of Japan's Copyright Act, practical responses to right holders in Japan, copyright policy and training content summary in the EU, and the impact of litigation and state law trends in the US.
1. Overview of the AI Principle Code and its position in Japan's AI Governance
2. How to perceive "Comply or Explain"
3. The Framework of Disclosure
4. AI Training and Copyright as Peripheral Issues
5. Comparison with Transparency Requirements of the EU AI Act
6. Comparison with Transparency Requirements at the US State Law Level
7. Impact of AI Types (High-Risk AI, Conversational AI, Deepfakes)
8. Q&A Session
*Lecture content is subject to change based on the latest trends.