We support rights-respecting AI governance through legal mapping, risk assessment, documentation standards, and institutional oversight design.
The United Nations has increasingly recognised the implications of artificial intelligence for human rights, sustainable development, and international governance. Multiple UN bodies and agencies have issued guidance, resolutions, and reports addressing the governance of AI technologies.
We map governance requirements across widely used international frameworks and standards.
Guiding responsible AI stewardship with principles of transparency, accountability, and human-centred values adopted by OECD member states.
A comprehensive normative framework addressing ethical dimensions of AI including fairness, sustainability, and human oversight across all stages of the AI lifecycle.
A structured approach to identifying, assessing, and mitigating AI risks across organisational contexts, widely adopted in governance and compliance.
Selected international governance frameworks referenced in GlobalHRD research and analytical work.
The EU AI Act represents the world's first comprehensive regulatory framework for artificial intelligence. It establishes a risk-based classification system, mandatory requirements for high-risk AI systems, and governance structures for enforcement and oversight.
Key safeguards for high-impact AI systems and governance programs.
Identifying and mitigating algorithmic bias that may disproportionately affect vulnerable groups or reinforce structural inequalities.
Promoting clear documentation and interpretability of AI decision-making to ensure affected individuals can understand and challenge outcomes.
Advocating for human-in-the-loop requirements, independent audits, and institutional oversight of high-risk AI systems.
Ensuring AI systems comply with data protection frameworks including GDPR, with emphasis on purpose limitation, data minimisation, and individual rights.
A practical model to structure governance workflows from risk identification through review.
Map AI systems against risk categories defined by applicable regulatory frameworks.
Conduct fundamental rights impact assessments for high-risk AI applications.
Maintain comprehensive technical documentation and facilitate independent audits.
Establish clear accountability structures and periodic review mechanisms.
The Corporate Sustainability Reporting Directive (CSRD) and broader Governance, Risk, and Compliance (GRC) frameworks increasingly intersect with AI governance requirements. Organisations must consider AI-related risks within their sustainability reporting and institutional governance structures.
Use this interactive checklist to track your organisation’s AI governance compliance. Your progress is saved locally.
Reach out for compliance mapping, safeguards review, or rights-based governance support.
GlobalHRD is an independent research and advisory platform. References to EU legislation, UN frameworks, or international standards are for analytical purposes only. No institutional endorsement, affiliation, or certification is implied.
