Launch an independent AI behavior auditing and certification platform that uses open methodologies to evaluate AI models for safety, bias, and alignment. This service would offer third-party verification reports that are publicly accessible, enabling policymakers, enterprises, and consumers to make informed decisions about AI adoption without relying solely on vendor claims.

As AI regulation intensifies, lawmakers are increasingly skeptical of industry-led safety narratives, suspecting ulterior motives such as competitive advantage preservation. This skepticism undermines trust in self-regulatory frameworks and creates a vacuum for independent, transparent oversight mechanisms. Without neutral validation, public and private stakeholders cannot confidently assess AI system risks, leading to overregulation or under-regulation depending on political sentiment.