FOR IMMEDIATE RELEASE

Washington, D.C. — June 16, 2025 — RegulatingAI, a non-profit initiative under Knowledge Networks dedicated to ethical AI governance, applauds the passage of New York’s pioneering legislation to prevent AI-driven disasters. The bill, as reported by TechCrunch on June 13, 2025, introduces a first-of-its-kind legal requirement for identifying and mitigating catastrophic risks in high-impact AI systems. RegulatingAI views this as a vital step toward building a governance model grounded in foresight, accountability, and public interest.

Proactive Oversight for High-Risk AI

Signed into law by Governor Letitia James, the bill focuses on AI systems deployed in critical infrastructure—including energy, transportation, emergency response, and utilities—where failure could lead to mass-scale harm. The legislation mandates:

• Public documentation of foreseeable disaster scenarios

• Independent safety audits for certain high-risk systems

• Pre-deployment risk forecasts and mitigation planning

• Transparency about how systems might cause harm if they fail

These requirements are designed to address growing concerns that some AI systems, especially those integrated into physical infrastructure or safety-critical workflows, are being deployed without sufficient understanding of their failure modes or long-term impacts.

From Reactive to Preventive Governance

The New York bill, led by State Senator Kristen Gonzalez, reflects a broader shift in thinking: moving from reactive regulation (after harms occur) to preventive governance based on foresight and structured accountability. RegulatingAI believes this kind of framework is essential in a world where advanced AI systems are increasingly embedded in decision-making processes with real-world consequences.

This legislation is particularly notable for compelling developers to actively imagine and disclose how their systems could go wrong—a practice akin to threat modeling or fault analysis in other safety-focused industries. This practice not only improves system design but also builds public trust in how AI technologies are being managed.

A Model for States and Agencies Nationwide

RegulatingAI encourages other states and federal bodies to examine the New York bill as a legislative model for managing AI risk without stifling innovation. By embedding responsibility into the development process and insisting on transparency, the law offers a replicable blueprint for governments seeking to balance technological progress with public safety.

About RegulatingAI
RegulatingAI, an initiative of Knowledge Networks, is a non-profit organization focused on promoting ethical AI governance. We empower regulators, industry leaders, and advocacy groups with the knowledge and tools necessary to shape the future of AI technologies, ensuring they are developed with trust and transparency.

For media inquiries and further information, please contact: 📧 upasana@regulatingai.org | upasana@knowledgenetworks.org