04/28/2026 | Press release | Distributed by Public on 04/28/2026 09:22
Washington, D.C. - Today, Congresswoman Deborah Ross' (NC-02) bill, the AI Incident Reporting and Security Enhancement Act, was included as part of the American Leadership in AI Act introduced by Congressman Ted Lieu (CA-36) and Jay Obernolte (CA-23). This landmark package brings together over 20 bipartisan bills and is the first comprehensive AI reform effort this Congress.
Congresswoman Ross' AI Incident Reporting and Security Enhancement Act was first introduced in 2024 alongside Congressmen Obernolte and Congressman Don Beyer (VA-08). This bill will tackle core security challenges posed by advances in artificial intelligence (AI), including vulnerability management and improving the tracking of AI-related "incidents" or harms.
"I'm proud to represent much of the Research Triangle Park - home to organizations and institutions breaking new ground every day in AI and cybersecurity," said Congresswoman Ross. "AI has the profound potential to improve the lives of Americans, but we must put in place the necessary guardrails to manage the risks that come with this rapidly evolving field. I'm proud that my bill is included in this bipartisan, comprehensive effort to strengthen American leadership in AI. By improving how we identify and respond to AI security vulnerabilities and by empowering the National Institute of Standards and Technology to modernize its work, this legislation will help advance secure AI systems while supporting continued American innovation."
The National Institute of Standards and Technology (NIST) operates the National Vulnerability Database (NVD), an authoritative dataset that organizations across the world use to make sure they are addressing their cybersecurity vulnerabilities. The AI Incident Reporting and Security Enhancement Act would direct NIST to update definitions and processes for the NVD to ensure this database advances with the rapid development of AI. It also directs NIST to engage with the private sector and assist in setting standards and guidance for technical vulnerability management processes related to AI systems.
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