Japan Seeks Public Input on AI Transparency and IP Code for Generative Models

Japan Seeks Public Input on AI Transparency and IP Code for Generative Models

By Editorial Team

Japan’s Cabinet Office has initiated a public consultation on a draft principles code aimed at enhancing transparency in generative artificial intelligence (AI) and protecting intellectual property rights. The proposed code would require AI businesses to disclose details about model training, web crawling practices, and respond to requests for limited training data sources related to potential disputes.

Enhancing AI Transparency and IP Protection

The draft “principles code” introduced by Japan’s Cabinet Office is designed to establish guidelines for developers and providers of generative AI. It mandates the publication of standardized information regarding model training processes, web crawling activities, and safeguards put in place to protect intellectual property rights.

By seeking public feedback on this code, Japan aims to foster greater transparency in the AI industry and ensure that intellectual property rights are adequately safeguarded in the development and deployment of generative AI models.

Public Comment Period and Stakeholder Engagement

Stakeholders, including AI businesses, legal experts, and industry associations, are encouraged to participate in the public consultation process by providing their insights and recommendations on the draft principles code. The feedback received during this period will be crucial in shaping the final guidelines that will govern AI transparency and intellectual property protection in Japan.

MLex’s Role in Monitoring Regulatory Developments

MLex, a leading platform for legal risk and regulation analysis, is closely monitoring the regulatory developments related to AI transparency and intellectual property rights in Japan. With a team of specialist reporters worldwide, MLex provides exclusive news coverage and in-depth analysis on regulatory proposals, enforcement actions, and legal rulings that impact businesses and organizations.

MLex offers features such as daily newsletters, custom alerts, predictive analysis, and curated case files to keep subscribers informed about the latest legal developments in areas including Antitrust, Mergers & Acquisitions, Data Privacy & Security, Technology, and AI.

For organizations looking to stay ahead of regulatory changes and mitigate legal risks, MLex provides valuable insights and resources to navigate complex legal landscapes effectively.

Share Post

Get In Touch

I want to attend:(Required)
Name(Required)
This field is hidden when viewing the form

Discover more from IIPLA

Subscribe now to keep reading and get access to the full archive.

Continue reading

Japan Seeks Public Input on AI Transparency and IP Code for Generative Models

About Shaina Lumish

Corporate Counsel, Renesas Electronics America Inc. | USA

About Shaina Lumish

Sasha Tan is the founder and CEO of Favful, a TripAdvisor-like platform for beauty products. As a serial entrepreneur, she started her first F&B business in Singapore at age 21. She is also well-versed in growing internet businesses as the former founding team member and VP of the online grocery delivery start-up, HappyFresh. Backed by Segnel Ventures, Gobi Partners, and 500 Startups before its official launch, Favful is now present in three countries, works with 20,000 beauty advisors, partners with over 2,000 brands, and covers more than 40,000 products to date.