Ensuring Safe, Secure, and Trustworthy AI
This White House fact sheet outlines voluntary commitments secured from leading artificial intelligence companies to manage the risks posed by advanced AI systems. The commitments focus on three core principles: safety, security, and trust, establishing measures such as internal and external red-teaming, cybersecurity protections, watermarking for AI-generated content, and public reporting on model capabilities and limitations.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
AI developers, policymakers, and the public interested in how leading technology companies and the U.S. administration plan to manage advanced AI risks.
What the document contains
The document addresses voluntary commitments by frontier AI companies regarding safety testing and red-teaming, cybersecurity protection for model weights, vulnerability reporting, provenance and watermarking for AI-generated content, public transparency reports, and research into societal risks and beneficial AI applications.
The document does not provide binding legal enforcement, statutory regulations, or specific compliance penalties, as these are voluntary industry commitments intended to precede future legislation.
- Leading AI companies have agreed to a set of voluntary commitments to ensure safety, security, and trust in their products.
- Companies commit to rigorous internal and external red-teaming before releasing frontier AI models.
- Security measures include protecting unreleased model weights against cybersecurity and insider threats, as well as establishing bug bounty programs.
- Companies pledge to develop robust mechanisms like watermarking or provenance tools to help users identify AI-generated audio and visual content.
- Firms agree to publicly report on model capabilities, limitations, and societal risks such as bias and discrimination.
· Voluntary AI Commitments · Safety · Security · Trust
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
2/5Clear responsibility for AI outcomes
The companies developing these pioneering technologies have a profound obligation to behave responsibly and ensure their products are safe.
Introduction
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
discussion of the model’s effects on societal risks such as fairness and bias, and the results of adversarial testing
Trust 6
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
Companies commit generally to empowering trust and safety teams, advancing AI safety research, advancing privacy, protecting children
Trust 7
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Develop and deploy mechanisms that enable users to understand if audio or visual content is AI-generated, including robust provenance, watermarking, or both
Trust 5
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
These voluntary commitments are only a first step in developing and enforcing binding obligations
Introduction
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Commit to internal and external red-teaming of models or systems in areas including misuse, societal risks, and national security concerns
Safety 1
screening score · 2026-10-23