Recommendations include requiring attribution of prior work, tighter scrutiny of AI-assisted results, and independent funding to safeguard researchers’ influence over the field.

Policy guidance advocates protecting authors’ rights, regulating the AI industry, investing in public computational infrastructure, and maintaining skepticism toward hype about AI capabilities.

Industry momentum, with firms like SpaceX, xAI, Anthropic, and OpenAI pursuing fundraising and visibility, is cited as context for the ongoing hype around AI’s role in mathematics.

The Leiden Declaration on Artificial Intelligence and Mathematics warns that AI threatens core mathematical values and calls for safeguards to preserve human judgment, transparency, and proper attribution in AI-assisted work.

Co-authors note a competitive, investment-driven research environment where labs may overstate AI prowess, with implications for integrity and attribution.

A major concern is AI systems scraping literature without proper citation or disclosure of how conclusions were reached, hindering verification and remediation.

The broader implication is that AI reliability, attribution, and autonomy concerns extend beyond mathematics to other sciences and creative fields, underscoring the need for proactive governance.

The declaration urges clearer AI-disclosure guidelines for mathematical work and broader regulatory scrutiny of AI industry practices that affect research integrity, while recognizing AI’s potential to assist rather than replace human insight.

Some recommendations can be implemented by individuals or companies, while others require broader policy or government intervention to regulate the AI industry.

Signatories warn that AI developers have commercial incentives to overstate capabilities and to publicize market timelines over rigorous peer-reviewed science.

Increased tech-company involvement in mathematical research could threaten autonomy and shift priorities toward AI-friendly problems, especially under university budget pressures.

It emphasizes mathematics as a human-centered discipline focused on understanding and communal practice, resisting AI ownership or authorship that overrides human judgment.