Privacy and Artificial Intelligence - Checklist for 3.6: International and Multilateral Organizations

Checklist for 3.6: International and Multilateral Organizations

Objective

1. Foster global cooperation to harmonize AI governance, privacy standards, and risk management frameworks, ensuring interoperability and the protection of fundamental rights across jurisdictions (CNIL, 2025; OECD, 2024; PCPD, 2025a).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

Key Actions

1. Develop and promote international frameworks that align AI governance with privacy protection principles.
     Example: Support the adoption of the OECD AI Principles and OECD Privacy Guidelines as a global baseline (OECD, 2024; OECD, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

2. Facilitate cross-border collaboration and information sharing among data protection authorities and AI regulators.
     Example: Organize international summits and joint declarations, such as the Paris AI Action Summit (CNIL, 2025).
     Related to Part 2 Sub-Point: 2.9 Cross-Functional Collaboration and Training.

3. Encourage the integration of privacy by design and robust data governance in all international AI initiatives.
     Example: Advocate for the inclusion of privacy impact assessments and risk management in multilateral projects (OECD, 2024; PCPD, 2025a).
     Related to Part 2 Sub-Point: 2.1 Privacy and Security by Design.

4. Support the development and dissemination of privacy-enhancing technologies (PETs) and best practices for explainability and transparency in AI systems.
     Example: Promote international research and guidance on PETs and transparent AI algorithms (OECD, 2024; PCPD, 2025a).
     Related to Part 2 Sub-Point: 2.6 Privacy-Enhancing Technologies (PETs); 2.3 Transparency and Explainability.

5. Monitor and evaluate the societal and technical impacts of AI, adapting international guidelines as technology and risks evolve.
     Example: Establish expert groups and periodic reviews, such as the OECD Expert Group on AI, Data, and Privacy (OECD, 2024).
     Related to Part 2 Sub-Point: 2.7 Continuous Monitoring, Auditing, and Incident Response.

Metrics for Success

1. Achieve formal endorsement of harmonized AI and privacy frameworks by at least five major international organizations (CNIL, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

2. Increase the number of joint cross-border AI privacy enforcement or cooperation initiatives by 30% year-over-year (OECD, 2024).
     Related to Part 2 Sub-Point: 2.9 Cross-Functional Collaboration and Training.

3. Publish annual reports on progress and challenges in international AI privacy governance (PCPD, 2025a).
     Related to Part 2 Sub-Point: 2.7 Continuous Monitoring, Auditing, and Incident Response.

Common Pitfalls to Avoid

1. Allowing regulatory fragmentation and lack of interoperability between national and international AI privacy frameworks (OECD, 2024; CNIL, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

2. Overlooking the need for ongoing dialogue and adaptation as AI technologies and privacy risks evolve (OECD, 2025).
     Related to Part 2 Sub-Point: 2.7 Continuous Monitoring, Auditing, and Incident Response.

3. Failing to include a diverse range of stakeholders in the development of international AI and privacy standards (PCPD, 2025a; CNIL, 2025).
     Related to Part 2 Sub-Point: 2.9 Cross-Functional Collaboration and Training.

References
CNIL. (2025, April 18). Data governance and AI: Five data protection authorities commit to innovative and privacy-protecting AI. https://www.cnil.fr/en/data-governance-and-ai-five-data-protection-authorities-commit-innovative-and-privacy-protecting-ai

OECD. (2024, June 26). AI, data governance and privacy: Synergies and areas of international co-operation (OECD Artificial Intelligence Papers, No. 22). https://www.oecd.org/en/publications/ai-data-governance-and-privacy_2476b1a4-en.html

OECD. (2025). AI, data governance, and privacy: Synergies and areas of international co-operation. https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/06/ai-data-governance-and-privacy_2ac13a42/2476b1a4-en.pdf

PCPD. (2025a, April 15). Checklist on guidelines for the use of generative AI by employees. Privacy Commissioner’s Office. https://www.pcpd.org.hk/english/news_events/media_statements/press_20250331.html

PCPD. (2025b, May 8). The Privacy Commissioner’s Office has completed compliance checks on 60 organisations to ensure AI security. https://www.pcpd.org.hk/english/news_events/media_statements/press_20250508.html