White House Executive Order Signals an Effort to Advance a National AI Policy

The White House has issued a new executive order signaling a coordinated effort to establish a national AI policy framework and assess and potentially limit the impact of state-level AI laws.

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This federal action from the White House signals a shift toward a more centralized national AI policy framework that could preempt existing state-level requirements. As this work unfolds, enterprises deploying AI must continue to invest in proactive, well-documented AI governance programs with transparency and accountability mechanisms that can scale across jurisdictions and evolve alongside regulatory expectations.

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In practice, organizations must be prepared to align controls, documentation, and oversight across state, federal, and international frameworks without constant reinvention. Modular, standards-aligned AI governance enables accountability, traceability, and effective risk management—foundations that are increasingly essential as AI regulation matures.

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Since its founding, Credo AI has focused on aligning national AI ambition and enterprise AI adoption with durable AI governance and long-term value creation—making AI trust measurable, defensible, and scalable. Trust in AI must be grounded in scientifically proven methods, including rigorous evaluations , continuous monitoring, and context specific benchmark-based assessments of model behavior, risk, and impact across the AI lifecycle. These approaches enable organizations to move beyond aspirational principles toward empirical evidence-based trust, which in turn becomes a competitive market advantage for American enterprises.

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Credo AI serves as a trusted operating system for the AI stack, providing end-to-end runtime aware oversight across models, agents, data, and third-party AI systems, enabling organizations to govern AI holistically as it scales across teams, use cases, and environments. We have been helping organizations operationalize this approach by embedding auditable governance, transparency, and trust into AI systems, ensuring compliance and confidence as the regulatory landscape continues to evolve. 

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We look forward to actively partnering with the Administration, Congress, and industry leaders to help define and operationalize a national AI policy framework—one that anchors trust in measurable, evidence-based governance while ensuring AI systems deliver clear benefits to the American public. By translating policy intent into scalable and defensible controls, we can enable U.S. enterprises to lead not only in AI innovation, but in trustworthy deployment at scale that strengthens competitiveness, serves the public good, and reinforces American leadership in trusted AI.