Harvard Ethics Center Introduces Boundaries of Tolerance Framework in Response to US AI Action Plan Deregulation

The Harvard Ethics Center published an analysis on November 1, 2025, titled AI Governance at a Crossroads: America's AI Action Plan and Its Impact on Businesses, examining how the United States AI Action Plan reshapes compliance obligations for private sector organizations. The analysis finds that the Action Plan deliberately reduces federal oversight in favor of innovation-led development, transferring primary responsibility for AI risk management to individual companies. In response to this regulatory shift, Harvard researchers introduce the Boundaries of Tolerance Framework, a structured corporate governance tool designed to help organizations formally define, document, and justify the range of AI-related risks they consider acceptable across development and deployment contexts.

The publication reflects a broader pattern emerging in US AI policy, where the federal government is stepping back from prescriptive rulemaking and instead signaling that industry should self-govern. This approach stands in contrast to the more binding regulatory architectures taking shape in the European Union and other jurisdictions, and it creates a governance vacuum that voluntary frameworks are now being designed to fill. The Harvard analysis positions internal risk tolerance documentation not merely as good practice but as a functional substitute for absent federal standards, particularly for organizations that operate outside heavily regulated sectors and therefore lack sector-specific rules to anchor their AI governance programs.

For enterprise compliance teams, the most immediate practical step is to assess whether existing AI governance documentation is sufficient to demonstrate defensible risk management decisions in the absence of binding federal requirements. Organizations in financial services, healthcare, and other regulated industries should map the Boundaries of Tolerance Framework against their existing obligations under sector-specific regulators such as the OCC, CFPB, or HHS to identify gaps or conflicts. Companies without sector-specific AI rules should treat this framework as an early signal that documented risk tolerance policies may face scrutiny from investors, auditors, or future regulators, and should begin formalizing those policies now rather than waiting for binding requirements to emerge.