About Us
Establishing verifiable standards for responsible AI use in business
Why We Exist
AI is rapidly becoming embedded in critical business operations across every industry. Yet regulatory frameworks remain fragmented, and stakeholders lack reliable ways to verify responsible AI practices.
Three key pressures are driving demand for AI governance standards:
- Regulatory compliance: Governments worldwide are implementing AI regulations requiring transparency and accountability
- Stakeholder pressure: Customers, investors, and partners increasingly demand proof of ethical AI practices
- Talent demands: Top professionals want to work for organizations committed to responsible technology
AI Ethics Mark provides independent, verifiable certification that organizations meet rigorous standards for responsible AI deployment.
Our Standards
Our certification framework assesses organizations across five core dimensions:
1. Governance & Accountability
Clear ownership, decision-making processes, and oversight mechanisms for AI systems
2. Transparency & Explainability
Documentation of AI system capabilities, limitations, and decision-making processes
3. Fairness & Bias Mitigation
Processes to identify, measure, and mitigate bias in AI systems
4. Privacy & Data Protection
Safeguards for personal data and compliance with privacy regulations
5. Safety & Security
Risk assessment, testing, and monitoring to ensure AI systems operate safely
Advisory Board
Our standards are developed and maintained by experts in AI ethics, technology policy, and business governance.
Dr. Sarah Chen
AI Ethics Researcher, Stanford University
15+ years researching algorithmic fairness and AI governance frameworks
Michael Rodriguez
Former Chief Privacy Officer, Fortune 500
Led data governance and AI compliance programs for global enterprises