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Home AI Article

Senator’s RISE Act Mandates Disclosure of Training Data and Evaluation Methods for Legal Protection
(Synopsis)

by ainewsarticles
June 15, 2025
in AI Article, Business, Business & Finance, Favorite, Government & Law, Nation & World, Science, Science & Technology, Society
Reading Time: 2 mins read
Senator's RISE Act Mandates Disclosure of Training Data and Evaluation Methods for Legal Protection
2
VIEWS

In a week of increased global tensions, U.S. lawmakers are advancing new regulations for AI that could reshape the industry. Recently, Senator Cynthia Lummis from Wyoming presented the Responsible Innovation and Safe Expertise Act of 2025 (RISE), which merges a conditional liability shield for AI developers with requirements for transparency in model training and specifications.

For this bill to pass, it needs support from both the U.S. Senate and House, along with President Donald J. Trump’s signature, a process expected to take several months. Lummis highlights the urgency for clear and enforceable standards to foster both innovation and trust, stating, “If we want America to lead and prosper in AI, we can’t let labs write the rules in the shadows. That’s what the RISE Act delivers. Let’s get it done.” The proposed law would keep current malpractice standards for various professionals intact.

If enacted as intended, the legislation would activate on December 1, 2025, affecting only actions that happen afterward. Lummis insists that the swift integration of AI and varying liability laws discourage investment, causing confusion over accountability. She argues developers and professionals should meet their responsibilities without penalties for honest mistakes.

The RISE Act requires transparency as a condition for limited liability, enabling Congress to create a robust framework amid bipartisan worries about AI’s lack of clarity. While lobbyists might challenge disclosure terms, public interest groups could push for tougher requirements. The core principle is clear: in essential sectors, AI systems must not operate as hidden entities; transparency is vital for those working with such technologies.

 

 

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