AI deregulation shifts risk to private sector, Harvard Ethics Center's Boundaries of Tolerance Framework finds
Source
Harvard EthicsWhat happened
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, 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 framework is positioned as a functional substitute for absent federal standards, particularly for organizations operating outside heavily regulated sectors such as financial services or healthcare. The publication signals that internal risk tolerance documentation may increasingly serve as a de facto governance instrument in the absence of binding federal rules.
Why it matters
- ·The deliberate reduction of federal AI oversight under the US AI Action Plan creates regulatory exposure for organizations that have relied on anticipated federal standards to anchor their governance programs, leaving them without a clear external compliance benchmark.
- ·Organizations in financial services, healthcare, and other regulated industries must now reconcile voluntary frameworks like the Boundaries of Tolerance Framework with existing sector-specific obligations from regulators such as the OCC, CFPB, and HHS, increasing operational complexity.
- ·Companies outside regulated sectors face heightened organizational risk because documented risk tolerance policies may face scrutiny from investors, auditors, or future regulators, and the absence of formalized internal governance documentation could be treated as a governance failure.
Stay ahead of stories like this
Get every US AI governance development like this one, plus the rest of the week's developments. Every Thursday.
Recent issues
- State-linked attackers and criminal operators are actively weaponizing AI tools as entry points into enterprise systems, turning internal platforms and open-source frameworks into live attack vectors.5 Nov
- Three separate incidents this week each created a new compliance action item: verify your AI vendors' data sourcing, demand agent monitoring coverage guarantees, and audit trusted app identities in your cloud environment.29 Oct
Free every Thursday. Unsubscribe anytime.
Governance controls affected
What to do now
- ☐Conduct a gap assessment of existing AI governance documentation to determine whether it is sufficient to demonstrate defensible risk management decisions in the absence of binding federal requirements.
- ☐Map the Boundaries of Tolerance Framework against sector-specific regulatory obligations under the OCC, CFPB, or HHS to identify conflicts or coverage gaps for regulated-industry deployments.
- ☐Draft or update formal risk tolerance policies that define acceptable risk ranges for AI development and deployment, treating these documents as audit-ready governance instruments.
- ☐Brief executive leadership and board-level risk committees on the implications of the US AI Action Plan deregulatory shift and the increased governance burden now placed on the private sector.
- ☐Establish a monitoring process to track how investors, auditors, and sector-specific regulators are interpreting voluntary AI governance frameworks as proxies for compliance standards.
What to watch next
Compliance teams should monitor whether US sector-specific regulators such as the OCC, CFPB, and HHS issue formal guidance clarifying how voluntary frameworks like the Boundaries of Tolerance Framework interact with existing supervisory expectations for AI risk management. Enforcement actions or supervisory letters from these agencies referencing internal risk documentation standards would signal that self-governance materials are being treated as de facto compliance instruments. Teams should also track developments in the EU AI Act implementation timeline, as the contrast between binding EU requirements and the US deregulatory posture may create divergent compliance obligations for multinational organizations.