AI Governance Reference Library
Comprehensive collection of authoritative standards, frameworks, and regional instruments supporting evidence-based AI risk management and governance excellence across global and GCC jurisdictions
Category:
ISO/IEC 42001:2023
Artificial Intelligence Management Systems
The world's first international standard for AI management systems, providing requirements for establishing, implementing, maintaining, and continuously improving an AIMS. Follows Plan-Do-Check-Act structure and aligns with ISO 27001 and ISO 23894.
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Core Foundation
ISO/IEC 23894:2023
AI Risk Management Guidance
Provides practical, lifecycle-based framework for identifying, assessing, and mitigating AI-specific risks. Complements governance standards like ISO 42001 and helps organizations operationalize responsible AI practices throughout the AI lifecycle.
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Core Foundation
NIST AI Risk Management Framework
AI RMF 1.0 (NIST AI 100-1)
Comprehensive framework with four core functions (GOVERN, MAP, MEASURE, MANAGE) to help organizations address AI risks throughout the lifecycle. Designed to be practical, adaptable, and operationalizable by organizations of varying capabilities.
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Core Foundation
OECD AI Principles
Recommendation on Artificial Intelligence
First intergovernmental standard on AI with five values-based principles and five policy recommendations. Promotes innovative, trustworthy AI that respects human rights and democratic values. Foundation for international cooperation and interoperability.
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Core Foundation
EU AI Act
Regulation (EU) 2024/1689
Comprehensive legal framework for AI regulation in the EU, establishing risk-based approach with mandatory requirements for high-risk AI systems and governance obligations for AI providers and deployers.
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High Relevance
GCC Regional Governance Instruments
AI governance frameworks and strategies from Gulf Cooperation Council member states
UAE National AI Strategy 2031
United Arab Emirates
Comprehensive national strategy positioning UAE as global leader in AI. First country to appoint Minister of State for AI. Emphasizes robust governance, ethical development, and responsible deployment across transportation, health, education, energy, and space sectors.
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Core Regional
UAE AI Ethics Charter
UAE National Framework
Horizontal risk-based governance framework ensuring coherence across banking, finance, public administration, media, mobility, and healthcare. Soft-law approach enabling adaptive regulatory evolution while maintaining ethical accountability.
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High Regional
Saudi AI Ethics Principles
SDAIA Ethics Framework
Guiding principles for ethical development and deployment of AI technologies within Saudi Arabia. SDAIA actively reviews, updates, and monitors compliance with these principles while developing national guides and standards for effective AI ethics management.
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High Regional
Saudi AI Adoption Framework
SDAIA Implementation Guide
Roadmap for integrating AI across various sectors, fostering knowledge-based society driven by innovation. Provides guidance, outlines key steps and procedures, and aligns with best practices for responsible and effective AI implementation.
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Regional
Qatar National AI Strategy
State of Qatar
Comprehensive strategy for AI adoption aligned with Qatar National Vision 2030. Focuses on healthcare, transportation, education, and government services while emphasizing ethical AI development and data governance.
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Regional
QCB AI Guidelines for Financial Sector
Qatar Central Bank
Sector-specific guidelines for AI systems in financial institutions. Requires corporate governance, AI system registration, high-risk assessments, and disclosure requirements. Defines clear accountability for board of directors and senior management.
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Regional
Oman National AI Program
Sultanate of Oman
Aligned with Vision 2040, focuses on three pillars: promoting AI adoption in economic sectors, localizing AI technologies, and governing AI applications with human-centered approach. Includes Charter of Ethics for AI Use.
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Regional
GCC Unified AI Guiding Document
Public Prosecution Framework
Unified regional framework approved by attorney generals and public prosecutors of all GCC member states for AI use in public prosecution. Represents significant step toward harmonized AI regulation across Gulf region.
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Core Regional
GCC Guiding Manual for AI Ethics
Regional Ethics Framework
Regional framework for AI ethics harmonization across GCC member states. Establishes four core values and seven guiding principles including human decision-making, safety, fairness, privacy, transparency, accountability, and integrity. References UNESCO's 2021 AI Ethics Recommendation.
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Core Regional
Additional International Instruments
Complementary standards, principles, and frameworks supporting comprehensive AI governance
IEEE Ethically Aligned Design
First Edition (2019)
Comprehensive guide for ethical design and engineering of autonomous and intelligent systems, providing practical recommendations for embedding ethical considerations into AI development processes.
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Medium Relevance
NIST Cybersecurity Framework
Version 2.0 (2024)
Foundational framework for managing cybersecurity risks, designed to complement AI risk frameworks and provide integrated approach to organizational security and AI governance.
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Medium Relevance
UK AI White Paper
A Pro-Innovation Approach to AI Regulation
Outlines UK's principles-based approach to AI regulation, emphasizing innovation while ensuring appropriate safeguards through existing regulators and sector-specific guidance.
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Medium Relevance
Partnership on AI Principles
Collaborative AI Research & Development
Industry-led initiative focusing on best practices for AI research and development, with emphasis on beneficial outcomes for people and society, addressing fairness, accountability, and transparency.
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Medium Relevance
MIT AI Risk Repository
Comprehensive AI Risk Database
Comprehensive database of AI risks, incidents, and mitigation strategies. Provides evidence-based foundation for risk assessment and management practices across multiple AI domains and applications.
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High Relevance
ETO AGORA Database
AI Governance and Regulatory Archive
Living collection of 950+ AI-relevant laws, regulations, standards, and governance documents from US and worldwide. Updated regularly with summaries, full text, thematic tags, and filters for analysis.
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High Relevance
ISO/IEC 27001:2022
Information Security Management
International standard for information security management systems, providing framework for managing security risks. Complements AI governance by addressing data protection and security requirements for AI systems.
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Medium Relevance
WEF AI Governance Framework
Responsible AI in Fourth Industrial Revolution
Multi-stakeholder framework for responsible AI governance, addressing key challenges in AI deployment across industries while promoting innovation and addressing societal concerns.
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Medium Relevance
Financial Services Sector
AI governance frameworks and guidelines for banking, financial institutions, and Islamic finance
CBUAE AI Guidelines for Financial Institutions
Central Bank of the UAE
Comprehensive guidance on the use of artificial intelligence by financial institutions in the UAE. Covers governance requirements, risk management frameworks, and responsible AI deployment in banking and financial services.
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High Relevance
Technology Risk Management Standards
Central Bank of the UAE
Standards for managing technology risks in UAE financial institutions, including requirements for AI systems, data governance, cybersecurity, and operational resilience in digital transformation initiatives.
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Medium Relevance
IFSB-15: Revised Capital Adequacy Standard
Islamic Financial Services Board
Revised capital adequacy standard for institutions offering Islamic financial services. Relevant for AI-powered Islamic finance applications and Shariah-compliant fintech solutions across GCC markets.
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Medium Relevance
Basel Operational Risk Principles
Basel Committee on Banking Supervision
Principles for the sound management of operational risk in banking, applicable to AI-related operational risks including model risk, data quality, and algorithmic decision-making in financial services.
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Medium Relevance
FSB AI/ML in Financial Services
Financial Stability Board
Analysis of AI and machine learning applications in financial services, examining implications for financial stability, market integrity, and consumer protection. Provides regulatory considerations for AI governance.
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High Relevance
UAE Personal Data Protection Law (PDPL)
Federal Decree-Law No. 45 of 2021
UAE's comprehensive personal data protection law governing collection, processing, and transfer of personal data. Critical for AI systems processing customer data in financial services and other regulated sectors.
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High Relevance
AAOIFI Shariah Standards
Accounting and Auditing Organization for Islamic Financial Institutions
Shariah standards for Islamic financial institutions, providing ethical and compliance framework for AI applications in Islamic banking, takaful, and investment products across GCC markets.
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Medium Relevance
ADGM FinTech Regulatory Framework
Abu Dhabi Global Market
Comprehensive regulatory framework for fintech and AI-powered financial services in Abu Dhabi Global Market. Includes sandbox provisions, licensing requirements, and innovation support mechanisms.
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Medium Relevance
DIFC Innovation Testing License
Dubai International Financial Centre
Innovation testing environment for fintech and AI startups in Dubai International Financial Centre. Provides regulatory sandbox for testing AI-powered financial products and services.
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Medium Relevance
Telecommunications Sector
AI governance frameworks for telecommunications, network intelligence, and digital infrastructure
EU AI Act (Full Regulation)
Official Journal of the European Union
Full official text of the EU Artificial Intelligence Act from EUR-Lex. Establishes harmonized rules for AI systems in the EU market with specific implications for telecommunications and network infrastructure.
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High Relevance
ETSI ENI Series (Experiential Networked Intelligence)
European Telecommunications Standards Institute
Standards series for experiential networked intelligence enabling AI-driven network management, automation, and optimization. Key reference for AI in telecommunications infrastructure and 5G/6G networks.
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Medium Relevance
BEREC Guidelines on AI in Electronic Communications
Body of European Regulators for Electronic Communications
Guidelines for AI applications in electronic communications sector, addressing network management, customer service automation, and regulatory compliance for telecommunications operators.
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Medium Relevance
ISO/IEC 42001 – AI Management System
Alternate Reference Link
AI management system standard applicable across sectors including telecommunications. Provides framework for governance, risk management, and continuous improvement of AI systems in network operations.
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High Relevance
General Data Protection Regulation (GDPR)
European Union
EU's comprehensive data protection regulation with significant implications for AI systems processing personal data. Includes provisions on automated decision-making and profiling relevant to telecom services.
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High Relevance
NIS2 Directive
Network and Information Security Directive
Updated EU directive on network and information security establishing cybersecurity requirements for critical infrastructure including telecommunications. Relevant for AI-powered security systems and network protection.
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Medium Relevance
Technology Sector
AI governance frameworks for technology companies, software development, and digital services
NIST AI RMF Landing Page
AI Risk Management Framework Portal
Official NIST portal for AI Risk Management Framework resources, including playbook, profiles, crosswalks, and implementation guidance for technology organizations adopting responsible AI practices.
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High Relevance
OECD AI Principles Portal
Going Digital AI Principles Hub
OECD portal for AI principles with implementation guidance, policy resources, and country-specific adoption information. Primary reference for technology companies aligning with international AI governance standards.
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High Relevance
Singapore Model AI Governance Framework for Generative AI
AI Verify Foundation
Comprehensive governance framework specifically addressing generative AI systems. Provides practical guidance for organizations deploying generative AI, covering risk management, transparency, and responsible development practices.
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High Relevance
Singapore Model Governance Framework for Agentic AI
IMDA Singapore
Governance framework for agentic AI systems capable of autonomous decision-making and action. Addresses unique risks of AI agents including goal alignment, human oversight, and accountability in multi-agent environments.
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High Relevance
UK AI Regulation White Paper
Pro-Innovation Approach
UK government's approach to AI regulation emphasizing innovation while ensuring safety. Outlines principles-based framework through existing sector regulators applicable to technology companies.
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Medium Relevance
Dubai AI Principles & Ethics
Smart Dubai Initiative
Dubai's ethical framework for AI development and deployment, providing guidelines for government and private sector entities developing AI solutions within the emirate's smart city ecosystem.
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High Relevance
Healthcare Sector
AI governance frameworks for healthcare, medical devices, and health data management
DHA Healthcare Data Management Policy
Dubai Health Authority
Dubai Health Authority's policy framework for healthcare data management, applicable to AI systems processing patient data, clinical decision support, and health analytics in Dubai.
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Medium Relevance
Abu Dhabi Health Data Standards
Department of Health Abu Dhabi
Health data standards from Abu Dhabi Department of Health, providing framework for AI applications in clinical settings, health information exchange, and medical data analytics.
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Medium Relevance
NAPHIES Standards
Saudi National Health Insurance Platform
National platform for health insurance exchange standards in Saudi Arabia. Relevant for AI systems processing health claims, clinical data, and insurance automation in the Kingdom.
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Medium Relevance
WHO Guidelines on Ethics and Governance of AI for Health
World Health Organization
Comprehensive WHO guidance on ethical considerations and governance frameworks for AI in healthcare. Establishes six guiding principles for safe, effective, and ethical deployment of AI in health systems globally.
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Core Healthcare
EU Medical Device Regulation (MDR)
Regulation (EU) 2017/745
EU regulation for medical devices with evolving requirements for AI-powered medical devices and software as medical device (SaMD). Key compliance framework for health AI products entering EU market.
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Medium Relevance
FDA AI/ML-Based Software as Medical Device
U.S. Food and Drug Administration
FDA guidance on AI and machine learning-based software as a medical device, including action plan for AI/ML-based SaMD, predetermined change control plans, and good machine learning practice principles.
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High Relevance
ISO 13485 – Medical Device Quality Management
Quality Management Systems
Quality management system standard for medical devices, increasingly relevant for AI-powered medical devices and diagnostic systems. Foundation for regulatory compliance in health AI development.
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Medium Relevance
HL7 FHIR AI & Interoperability Standards
HL7 International
Fast Healthcare Interoperability Resources (FHIR) standards enabling AI applications to access and exchange health data. Essential for health AI systems requiring interoperability with clinical systems.
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Medium Relevance
MHRA Software and AI as Medical Device Programme
UK Medicines and Healthcare products Regulatory Agency
UK MHRA's programme for regulating software and AI as medical devices, establishing framework for pre-market approval, post-market surveillance, and adaptive AI regulatory approaches.
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Medium Relevance
Frontier AI Safety Frameworks
Responsible scaling policies and safety frameworks from leading AI labs and technology companies
OpenAI Preparedness Framework v2
OpenAI
OpenAI's framework for tracking, evaluating, forecasting, and protecting against catastrophic risks posed by increasingly powerful AI models. Defines risk categories and evaluation protocols for frontier AI systems.
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Core Safety
Anthropic Responsible Scaling Policy v2.2
Anthropic
Anthropic's responsible scaling policy defining AI Safety Levels (ASL) and corresponding safety and security requirements. Establishes commitments for developing and deploying increasingly capable AI systems safely.
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Core Safety
Google DeepMind Frontier Safety Framework v3.0
Google DeepMind
DeepMind's framework for identifying and mitigating severe risks from frontier AI models. Includes critical capability levels, evaluation protocols, and mitigation requirements for advanced AI systems.
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Core Safety
Meta Frontier AI Framework
Meta
Meta's framework for responsible development and release of frontier AI models. Outlines risk assessment methodology, safety evaluations, and deployment decision criteria for advanced AI systems.
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High Relevance
Amazon Frontier Model Safety Framework
Amazon
Amazon's framework for ensuring safety in frontier AI model development and deployment. Addresses risk identification, evaluation methodologies, and safety requirements for advanced AI systems.
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High Relevance
Microsoft Frontier Governance Framework
Microsoft
Microsoft's governance framework for frontier AI development addressing safety, security, and responsible deployment. Establishes organizational structures and processes for managing advanced AI risks.
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High Relevance
Cohere Secure AI Frontier Model Framework
Cohere
Cohere's security-focused framework for frontier AI model development. Emphasizes secure development practices, threat modeling, and safety requirements for enterprise AI deployments.
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High Relevance
xAI Frontier Artificial Intelligence Framework
xAI
xAI's frontier AI framework for responsible development. Outlines approach to identifying, assessing, and mitigating risks from advanced AI systems during development and deployment.
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High Relevance
Magic AI AGI Readiness Policy
Magic AI
Magic AI's policy framework for responsible development toward artificial general intelligence. Addresses safety commitments, capability thresholds, and organizational readiness for advanced AI systems.
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High Relevance
NAVER AI Safety Framework (ASF)
NAVER Cloud
NAVER's comprehensive AI safety framework addressing risk assessment, safety evaluation, and responsible deployment of AI systems. Focuses on practical safety measures for production AI applications.
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High Relevance
G42 Frontier AI Safety Framework
G42
G42's frontier AI safety framework representing the first comprehensive safety framework from a GCC-based AI company. Addresses risk assessment, safety evaluations, and responsible scaling for advanced AI systems.
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Core GCC Safety
NVIDIA Frontier AI Risk Assessment
NVIDIA
NVIDIA's technical paper on frontier AI risk assessment methodologies. Provides framework for evaluating risks from advanced AI systems and infrastructure supporting frontier model development.
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High Relevance
International AI Safety Report 2025
International Scientific Report on AI Safety
Landmark international scientific report on the safety of advanced AI, commissioned following the AI Safety Summit. Provides comprehensive assessment of AI capabilities, risks, and technical safety research from leading global experts.
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Core Safety
International AI Safety Report 2026
International Scientific Report on AI Safety
Updated international scientific report on advanced AI safety, building on the 2025 edition with latest research findings, emerging risks, and evolving safety methodologies from the global AI safety research community.
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Core Safety
Safer AI Research & Resources
Safer AI Initiative
Comprehensive resource hub for AI safety research, policy analysis, and governance frameworks. Provides curated research, policy briefs, and tools supporting responsible AI development and deployment practices.
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High Relevance
