Setting the Standard for Responsible AI
The AI Standards Council develops frameworks, certifications, and guidelines that help organizations build, deploy, and govern artificial intelligence responsibly.
What We Do
Building the foundation for trustworthy artificial intelligence worldwide.
Standards Development
We develop and publish frameworks for responsible AI development, deployment, and governance across industries.
Certification Programs
Organizations can earn AI Standards Council certification demonstrating commitment to ethical AI practices.
Policy Advisory
We advise governments, regulators, and institutions on AI policy and emerging regulatory frameworks.
Research & Publishing
We publish research, white papers, and guidance documents on AI ethics, safety, and best practices.
Certification Tiers
Three levels of certification to match your organization's AI maturity and commitment.
AI Ready
Organization has documented AI policies and basic governance in place. Good for small businesses beginning their AI journey.
For: Small businesses and startups beginning to adopt AI
Includes
- AI policy documentation review
- Basic governance assessment
- AI usage inventory
- Staff awareness certification
- AI Ready digital badge
AI Compliant
Full AI governance framework, bias testing, transparency reporting, and staff training completed.
For: Mid-size organizations with active AI deployment
Includes
- Full governance framework audit
- Bias detection and mitigation review
- Transparency reporting assessment
- Staff training verification
- Compliance documentation
- AI Compliant digital badge and certificate
AI Excellence
Full compliance plus active contribution to standards development, independent auditing, and public reporting.
For: Enterprise organizations and industry leaders
Includes
- Everything in AI Compliant
- Independent third-party auditing
- Public transparency reporting
- Standards development participation
- Annual re-certification
- AI Excellence seal and executive certification
- Listing in the AI Excellence Registry
Standards Library
Our frameworks provide actionable guidance for responsible AI across industries.
Responsible AI Development Framework
Comprehensive guidelines for developing AI systems that are safe, transparent, and aligned with human values throughout the development lifecycle.
AI Transparency and Explainability Guidelines
Standards for making AI decision-making processes understandable and explainable to stakeholders, regulators, and end users.
AI Bias Detection and Mitigation Standards
Protocols for identifying, measuring, and mitigating bias in AI systems across hiring, lending, healthcare, and other high-impact domains.
AI Data Privacy and Security Protocol
Framework for ensuring AI systems handle personal and sensitive data in compliance with global privacy regulations and security best practices.
AI Workforce Impact Assessment Guidelines
Methodology for organizations to assess and plan for the impact of AI adoption on their workforce, including retraining and transition support.
Healthcare AI Safety Standards
Specialized standards for AI systems used in clinical decision support, diagnostics, patient care, and healthcare administration.
Our Governance
The AI Standards Council operates as an independent body with no government or corporate affiliations. Our standards are developed through an open multi-stakeholder process including technologists, ethicists, policymakers, legal experts, and civil society organizations.
Have Questions About AI Standards?
Ask Aria, our AI advisor. She can help you understand certification requirements, applicable standards, and how to get started.
Aria provides general information only. For specific legal or regulatory advice, consult a qualified professional.
Apply for Certification
Complete the form below and our certification team will contact you to discuss the right path for your organization.
Stay Current on AI Standards
Monthly briefing on emerging AI regulations, new standards, and certification updates.