Privacy and Artificial Intelligence - Checklist for 3.1: Government and Regulatory Authorities

Checklist for 3.1: Government and Regulatory Authorities

Objective

1. Establish enforceable AI transparency standards and cross-border data compliance frameworks to protect citizen privacy (BytePlus, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

Key Actions

1. Mandate algorithmic impact assessments for public-sector AI deployments.
     Example: EU AI Act’s requirement for high-risk AI conformity assessments (BytePlus, 2025).
     Related to Part 2 Sub-Point: 2.1 Privacy and Security by Design.

2. Harmonize data localization laws with APEC CBPR or Global CBPR frameworks.
     Example: Japan’s adoption of ASEAN data transfer protocols (White & Case LLP, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

3. Fund independent bias audits of public-facing AI systems annually.
     Example: New York City’s AI bias law (Local Law 144 of 2021) (PCPD, 2025b).
     Related to Part 2 Sub-Point: 2.5 Bias Mitigation and Fairness Audits.

4. Establish dedicated AI incident response coordination centers.
     Example: NIST’s framework for critical infrastructure incident protocols (Cloud Security Alliance, 2025).
     Related to Part 2 Sub-Point: 2.7 Continuous Monitoring, Auditing, and Incident Response.

5. Develop sector-specific regulations for healthcare/finance AI.
     Example: EU AI Act’s high-risk application protocols (BytePlus, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

Metrics for Success

1. Enact ≥1 major AI regulation update/year addressing emergent risks (BytePlus, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

2. Reduce cross-border data dispute cases by 40% via standardized clauses (White & Case LLP, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

3. Achieve 90% compliance rate with AI transparency requirements in public sector audits (PCPD, 2025b).
     Related to Part 2 Sub-Point: 2.3 Transparency and Explainability.

Common Pitfalls to Avoid

1. Creating fragmented regulations conflicting with international standards (Medplace, 2025).
     Related to Part 2 Sub-Point: 2.10 Regulatory Compliance and Adaptive Governance.

2. Excluding civil society from regulatory consultations (PCPD, 2025b).
     Related to Part 2 Sub-Point: 2.9 Cross-Functional Collaboration and Training.

3. Delaying regulatory implementation until post-incident (TrustArc, 2024).
     Related to Part 2 Sub-Point: 2.7 Continuous Monitoring, Auditing, and Incident Response.

References

BytePlus. (2025). Future of AI regulations: What to expect in 2025. https://www.byteplus.com/ai-regulations-2025

Cloud Security Alliance. (2025). AI and privacy: Shifting from 2024 to 2025. https://cloudsecurityalliance.org/blog/2025/ai-and-privacy-shifting-from-2024-to-2025/

Medplace. (2025). Navigating AI regulation: A 2025 perspective on government’s role. https://www.medplace.com/blog/ai-regulation-2025

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

TrustArc. (2024). The data privacy professionals’ guide to thriving in 2025. https://www.trustarc.com/resources/2025-privacy-guide

White & Case LLP. (2025). AI Watch: Global regulatory tracker – Hong Kong. https://www.whitecase.com/insight-our-thinking/ai-watch-global-regulatory-tracker-hong-kong