Participation in Global Initiatives To Standardize AI Governance

As you are already aware, AI continues to reshape industries, governments, regulatory bodies, and industry leaders. All are racing to define what “responsible AI” should look like. 

With frameworks like the EU AI Act, NIST AI RMF, ISO 42001, and HITRUST AI RMF, a global effort is underway to create standardized AI governance principles. But the catch is that these standards won’t be effective unless you actively participate in shaping them.

1. Engage With International AI Standards Bodies

AI governance is not limited to one country or one set of rules. Hence, you should actively follow and contribute to evolving global frameworks:

• NIST AI RMF. A risk-based framework used widely in the U.S. that helps companies assess and mitigate AI-related risks.
• ISO 42001. The first AI-specific global management system standard, helping organizations structure AI compliance.
•  EU AI Act. It is one of the most comprehensive AI laws requiring stricter oversight for high-risk AI systems.
• OECD AI Principles. A global set of AI ethics and risk guidelines influencing policy-making worldwide.

How to engage?

• Participate in public comment periods for these frameworks, many regulatory bodies allow organizations to provide feedback before finalizing rules.
• Join ISO working groups to contribute expertise and help shape AI risk management standards.
• Align AI compliance strategies to future-proof governance and risk management efforts with these frameworks.

2. Collaborate Through AI Governance and Risk Management Coalitions

Many organizations are not trying to figure out AI governance alone. Instead, they’re joining forces with industry alliances and global initiatives:

• The Partnership on AI (PAI). A coalition of industry leaders, research institutions, and policymakers working toward ethical AI practices.
• The Global Partnership on AI (GPAI). A multi-country initiative dedicated to advancing AI policies and regulations through collaboration.
• The Responsible AI Institute (RAI). Focuses on auditing AI systems for compliance, fairness, and security risks.
• HITRUST AI RMF Development Groups. Brings together industry leaders to refine AI-specific security and compliance standards.

How to engage?

• Become a member of an AI governance organization and participate in industry discussions.
• Attend global AI policy conferences where regulators and industry leaders set the direction for AI governance.
• Work alongside other companies to develop best practices for AI transparency, security, and compliance.

3. Contribute To AI Risk and Compliance Research

One of the best ways to shape AI governance discussions is by contributing real-world insights from AI deployments. Regulatory bodies and standard-setting organizations rely on industry feedback to refine their guidelines.

• Conduct AI risk assessments using frameworks like HITRUST AI RMF and NIST AI RMF.
• Share case studies on AI risk mitigation strategies with research institutions and policymakers.
• Provide feedback on new AI regulations, governments often hold public consultations before finalizing laws.
• Collaborate with academic institutions working on AI security, fairness, and risk governance research.