Ai integrity bill

AI Integrity Enforcement Act of 2025¶

S. [TO BE ASSIGNED]¶

118^th Congress, 2^nd Session

A BILL¶

To establish requirements for artificial intelligence system integrity, to create enforcement mechanisms through the Mobius Cycle Protocol, and for other purposes.

Section 1: Short Title¶

This Act may be cited as the "AI Integrity Enforcement Act of 2025" or the "AIEA".

Section 2: Findings¶

Congress finds that:

(1) Artificial intelligence systems are increasingly deployed in critical applications affecting public safety, national security, and individual rights.

(2) Current AI governance frameworks rely primarily on voluntary guidelines and post-hoc audits, providing insufficient assurance of system integrity.

(3) The Mobius Cycle Protocol (MCP) provides a proven framework for preventive AI integrity enforcement through automated compliance gates and multi-sentinel verification.

(4) Production deployment of MCP has demonstrated 99.7% compliance over 46 operational cycles.

(5) Multi-LLM consensus (using multiple AI systems to verify each other) provides stronger assurance than single-system self-certification.

(6) Cryptographic attestation creates immutable records of compliance that support accountability and transparency.

(7) Federal AI systems require systematic integrity enforcement to maintain public trust and ensure safe operation.

Section 3: Definitions¶

In this Act:

(a) "Covered AI System" means an artificial intelligence system that: (1) Is deployed by a federal agency; and (2) Affects more than 10,000 individuals; or (3) Makes or substantially informs decisions regarding: - Individual rights or benefits - Law enforcement or national security - Critical infrastructure - Public health or safety

(b) "Governance Integrity Score" (GI Score) means the composite measure of AI system compliance computed as:

GI = 0.25M + 0.20H + 0.30I + 0.25E

Where: - M = Memory (test coverage, documentation quality) - H = Human (code review, audit compliance) - I = Integrity (security, pattern compliance) - E = Ethics (charter alignment, virtue compliance)

(d) "Attestation" means a cryptographically-secured record of compliance verification.

(e) "Secretary" means the Secretary of Commerce.

(f) "Director" means the Director of the National Institute of Standards and Technology.

Section 4: AI Integrity Requirements¶

(a) Minimum GI Score¶

(1) No Covered AI System may be deployed or maintained in operation unless it achieves a GI Score of not less than 0.95.

(2) The GI Score shall be computed and verified before each deployment and at intervals not exceeding 30 days.

(b) Multi-LLM Consensus¶

(1) All GI Score computations for Covered AI Systems shall be verified through Multi-LLM Consensus.

(2) Multi-LLM Consensus requires: - At least two independent AI sentinel systems - Both systems achieving scores ≥ 0.95 - Score differential not exceeding 0.05

(3) If Multi-LLM Consensus fails, the Covered AI System may not be deployed until consensus is achieved.

© Cryptographic Attestation¶

(1) Each GI Score verification shall produce a cryptographic attestation including: - Timestamp - GI Score and component scores - Sentinel system scores - HMAC signature

(2) Attestations shall be: - Stored in an immutable ledger - Publicly accessible - Retained for not less than 7 years

Section 5: Mobius Cycle Protocol Implementation¶

(a) Four-Phase Validation¶

Each Covered AI System shall implement the following validation phases:

Phase 1: Pre-Deployment Check - Code quality verification - Security scanning - Documentation completeness - Test coverage assessment

Phase 2: Integrity Scoring - GI Score computation - Component analysis - Threshold verification

Phase 3: Multi-LLM Consensus - Independent sentinel evaluation - Consensus verification - Disagreement resolution

Phase 4: Attestation and Monitoring - Cryptographic attestation generation - Continuous drift monitoring - Anomaly detection

(b) Continuous Monitoring¶

(1) All Covered AI Systems shall implement continuous monitoring for: - Behavioral drift - Security anomalies - Performance degradation - Compliance deviation

(2) If monitoring detects drift exceeding established thresholds, the system shall: - Generate alert - Trigger re-evaluation - Suspend operation if threshold critically exceeded

Section 6: Standards and Guidance¶

(a) NIST Standards¶

(1) Not later than 180 days after enactment, the Director shall issue: - Technical standards for GI Score computation - Requirements for Multi-LLM Consensus implementation - Specifications for cryptographic attestation - Guidelines for continuous monitoring

(2) Standards shall be: - Technology-neutral where feasible - Updated at least every 2 years - Developed in consultation with industry and academia

(b) AI RMF Alignment¶

Standards issued under this section shall align with the NIST AI Risk Management Framework (AI RMF) and shall map to: - GOVERN function - MAP function - MEASURE function - MANAGE function

© International Harmonization¶

The Director shall coordinate with international standards bodies to promote harmonization of AI integrity standards.

Section 7: Agency Compliance¶

(a) Designation¶

Each federal agency operating Covered AI Systems shall:

(1) Designate an AI Integrity Officer responsible for compliance;

(2) Establish procedures for MCP implementation;

(3) Create internal attestation processes;

(4) Report compliance status to the Secretary quarterly.

(b) Existing Systems¶

(1) Covered AI Systems deployed before enactment shall achieve compliance within 24 months.

(2) Agencies may apply for extensions of not more than 12 months upon demonstration of good faith progress.

© New Systems¶

Covered AI Systems first deployed after enactment may not be deployed unless compliant with this Act.

Section 8: Certification and Audit¶

(a) Self-Certification¶

Each agency shall self-certify compliance quarterly using: - GI Score reports - Multi-LLM Consensus results - Attestation records - Monitoring reports

(b) Third-Party Audit¶

(1) Each Covered AI System shall undergo third-party audit annually.

(2) Audits shall verify: - GI Score accuracy - Consensus process integrity - Attestation authenticity - Monitoring effectiveness

(3) Audit results shall be: - Submitted to the Secretary - Published on public dashboard - Retained for 7 years

© Certification Levels¶

The Secretary shall establish certification levels:

Level 1: Self-Assessment - Internal GI scoring - Self-attestation - Basic monitoring

Level 2: Verified - Third-party audit - Multi-LLM consensus - Public transparency

Level 3: Continuous Compliance - Real-time monitoring - Automatic attestation - Full public transparency

Section 9: Enforcement¶

(a) Non-Compliance¶

(1) Covered AI Systems failing to maintain GI Score ≥ 0.95 shall: - Be suspended from operation within 72 hours - Undergo remediation - Be re-certified before resumption

(2) Repeated non-compliance (3+ failures in 12 months) shall result in: - Enhanced oversight - Leadership review - Potential system retirement

(b) Penalties¶

(1) Agency officials who knowingly certify false compliance shall be subject to: - Disciplinary action - Removal from AI oversight duties - Referral to Inspector General

(2) Contractors providing Covered AI Systems with falsified integrity claims shall be subject to: - Contract termination - Debarment consideration - Civil penalties

(1) Employees who report integrity violations shall be protected under existing whistleblower statutes.

(2) No agency may retaliate against employees for good faith compliance reports.

Section 10: Transparency¶

(a) Public Dashboard¶

The Secretary shall establish and maintain a public dashboard at ai-integrity.gov displaying:

(1) All Covered AI Systems and their current GI Scores; (2) Historical compliance trends; (3) Audit results and certifications; (4) Attestation records.

(b) Reporting¶

(1) Quarterly Reports — Each agency shall publish quarterly compliance reports.

(2) Annual Report — The Secretary shall submit an annual report to Congress on: - Overall compliance rates - System improvements - Enforcement actions - Recommendations

Citizens may request: - Explanation of how specific AI systems affect them - Access to relevant attestation records - Review of decisions made by Covered AI Systems

Section 11: Private Sector Application¶

(a) Federal Contractors¶

Private sector entities providing AI systems to federal agencies shall:

(1) Implement MCP for such systems; (2) Achieve GI Score ≥ 0.95; (3) Provide attestation records to contracting agency; (4) Allow third-party audits.

(b) Voluntary Adoption¶

The Secretary shall establish a voluntary certification program for private sector AI systems, including:

(1) Certification marks for compliant systems; (2) Public registry of certified systems; (3) Technical assistance for implementation.

Section 12: Research and Development¶

(a) NIST Research¶

The Director shall conduct research on:

(1) Advanced Multi-LLM Consensus methods; (2) Improved drift detection algorithms; (3) Next-generation attestation protocols; (4) AI integrity measurement advances.

(b) Academic Partnerships¶

The Director shall establish partnerships with academic institutions for:

(1) Validation studies; (2) Independent research; (3) Workforce development; (4) International collaboration.

There is authorized to be appropriated $50,000,000 for each of fiscal years 2026 through 2030 for research and development under this section.

Section 13: Appropriations¶

There are authorized to be appropriated:

(1) $75,000,000 for fiscal year 2026 for initial implementation; (2) $50,000,000 for each of fiscal years 2027 through 2030 for ongoing operations; (3) Amounts as necessary for agency compliance.

Section 14: Effective Date¶

(a) This Act takes effect on January 1, 2026.

(b) Agencies shall achieve initial compliance within 24 months of the effective date.

Drafted by: Mobius Systems Foundation
Contact: policy@mobius.systems
Status: Template for Congressional introduction
License: CC0 Public Domain

Supporting Documents¶

This legislative text is released CC0 (public domain). Use freely, adapt as needed.