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What AI safety commitments actually require
“Self-policing” is a useful shorthand, not a single formal system. It can refer to internal company controls, public voluntary commitments, or frameworks that describe how an organization intends to manage risk. To understand what a commitment means in practice, look at what it covers, what actions it calls for, and what evidence it requires the company to publish.
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The 2024 AI Seoul Summit commitments are voluntary and focus on severe risks from frontier AI. Signatories committed to publish a safety framework and described practices including internal and external red-teaming, cybersecurity and insider-threat safeguards, vulnerability reporting, and public information about model capabilities, limitations, and appropriate or inappropriate use. The official Seoul commitment text also calls for ways users can identify AI-generated audio or visual material.
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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →A framework can set out risk categories, assessment procedures, deployment thresholds, and response plans. It is a description of a process, however—not proof that every control was followed or worked. For instance, a company may explain what testing it intends to conduct without publishing enough detail for outsiders to establish how comprehensive the testing was or what it found.
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Voluntary guidance is not certification
The National Institute of Standards and Technology’s AI Risk Management Framework (AI RMF) is intended for voluntary use. NIST says it helps organizations incorporate trustworthiness considerations into AI design, development, use, and evaluation. Released on January 26, 2023, AI RMF 1.0 is now being revised, according to NIST’s framework page. Using the framework does not make NIST a regulator of the organization or certify a specific AI product as safe.
A pledge and a legal duty are different
The European Commission describes the EU AI Pact’s pledges as non-binding declarations of engagement, with planned or ongoing actions and timelines. Signing the pledge does not itself impose legal obligations or establish compliance with the EU AI Act. A voluntary commitment can encourage action and public reporting, but its force depends on the pledge’s terms and on what other legal duties apply.
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Who checks whether companies follow their commitments?
There are three distinct accountability layers. A company may run its own controls; an external evaluator may test or audit aspects of its work; and a public authority may investigate compliance under applicable law. These layers can complement one another, but they are not interchangeable.
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| Layer | Who sets the rules | Legal force | What to check |
|---|---|---|---|
| Company controls and pledges | The company, or a voluntary initiative involving multiple participants | Internal policy or voluntary commitment; a pledge alone does not create statutory penalties | Covered risks and systems, deployment thresholds, published evidence, incident reporting, and how often the framework changes |
| Independent assessment | An external auditor, evaluator, or standards-based assessment process | Depends on the arrangement and any applicable legal requirements | Evaluator independence, test scope and methods, access to relevant information, and whether findings are disclosed |
| Public regulation | A legislature and the authorities assigned to administer the law | Binding duties and enforcement powers as defined by the applicable law | Which systems and duties are covered, which authority is responsible, and what investigation or enforcement powers apply |
What an external audit can—and cannot—show
An outside assessment can add scrutiny, but the label “audit” alone does not establish that it is comprehensive. Ask who selected and paid the evaluator, which systems and risks were in scope, whether methods and results were disclosed, and whether the evaluator had enough access to assess the claims. An assessment limited to a narrow set of tests cannot establish safety across every use, risk, or deployment context.
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The International AI Safety Report 2026 says researchers have argued that third-party auditing, verification, and standardisation could strengthen risk management. It also reports that external assessments of frontier safety frameworks remain limited and that there are no standardised external audits so far. The report records 16 AI developers as signatories to the Seoul voluntary commitments in May 2024, and says more than two dozen companies had signed the EU General-Purpose AI Code of Practice as of December 2025. Both counts are historical, date-specific figures, not current totals.
Company-published frameworks are evidence of stated process
OpenAI’s Frontier Governance Framework announcement describes the company’s approach to risk assessment and mitigation, reporting, security, incident response, and external expert input. It is a primary source for OpenAI’s description of its own process, not an independent audit finding.
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How public enforcement differs: the EU AI Act
The EU AI Act is a regulation, not a voluntary corporate pledge. Its consolidated text assigns market-surveillance responsibilities and provides for authority access to relevant documentation and datasets for high-risk AI systems, subject to the Act’s provisions and safeguards. Some enforcement functions are centralized in the AI Office for specified cases; national authorities retain other responsibilities. The exact duties and responsible authority depend on the system and the relevant provision. See the consolidated AI Act text dated July 27, 2026.
The date when enforcement powers begin is not a single start date for every obligation. The European Commission says the AI Office and national authorities assumed enforcement powers on August 2, 2026. Some requirements, including certain high-risk provisions, apply later, with some applying from December 2027. Check the schedule for the specific provision rather than treating August 2, 2026, as the date every AI Act duty took effect. The Commission’s AI Pact page provides information about the Pact; it should not be confused with the Act’s binding rules.
How to evaluate an AI safety claim
When a company says it has a safety framework, a commitment, or an audit, use these questions to distinguish a promise from evidence of implementation:
- Scope: Which models, systems, risks, lifecycle stages, and jurisdictions does the claim cover? Are important uses or risk categories outside its scope?
- Action thresholds: What test results or risk levels trigger a change, a delay, a restriction, or a decision not to deploy?
- Evidence: Does the company publish the framework, evaluation methods, limitations, incidents, and progress reports—or only state that it has a process?
- Evaluator independence and access: Who conducted any external assessment, who selected and paid them, what could they inspect, and how much of their work is public?
- Reporting and revision: How are vulnerabilities and incidents reported, and when is the framework updated as models and risks change?
- Consequences: What happens if a company misses its own commitment? Is the response limited to internal decisions, or does a specific law give a public authority investigation and enforcement powers?
These questions help separate a stated policy from evidence that it has been carried out, and both from a legal duty that an authority can enforce. No pledge, framework, or audit by itself demonstrates that an AI system is safe in every setting.
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