Comprehensive collection of authoritative resources, research findings, and best practices from leading international organizations, governments, and academic institutions.
Evidence-based foundations for responsible AI implementation across all sectors.
United Nations Educational, Scientific and Cultural Organization
Knowledge hub bringing together case studies, good practices, and cutting-edge research. Focus on framing key issues, providing tangible insights from practice, introducing innovative tools, and policy recommendations.
Visit ResourceFirst global guidance on GenAI in education (April 2025). Supports countries in implementing immediate actions, planning long-term policies, and developing human capacity.
Visit ResourceTwo comprehensive frameworks:
Purpose: Guide countries in supporting students and teachers to understand AI potential, develop AI literacy, and enable safe and ethical AI integration in education.
Leading authority on global health
150-page comprehensive guidance document developed over 18 months with leading experts in ethics, digital technology, law, human rights, and Ministries of Health.
Six Consensus Principles for AI in Health:
Organisation for Economic Co-operation and Development
First intergovernmental standard on AI, promoting AI that is innovative and trustworthy and that respects human rights and democratic values.
Visit ResourceGlobal governance and sustainable development
Framework for leveraging AI to accelerate achievement of SDGs across health, education, energy, climate action, and biodiversity.
Visit ResourceComprehensive overview of AI's role in addressing global challenges and the need for ethical frameworks.
Visit ResourceWorking Paper No. 2025/199 - 34 pages examining how financial supervisory authorities enhance their toolkit through AI adoption.
Key Challenges Identified:
Co-authored with Markkula Center for Applied Ethics at Santa Clara University. Examines IBM's comprehensive approach to ethical AI.
Five Open-Source Toolkits:
Comprehensive guide for organizations implementing responsible AI practices.
Visit ResourceNorth Atlantic Treaty Organization
First adopted in October 2021, revised in July 2024. Includes six Principles of Responsible Use (PRUs) for AI in Defence.
Six Principles of Responsible Use:
Five DoD AI Ethical Principles: Responsible, Equitable, Traceable, Reliable, and Governable.
Visit ResourceInstitutional ethical, legal, and accountability frameworks. Consistent and enforceable ethical frameworks for national security AI use.
Visit ResourceGovernment leverages AI to enhance public services, streamline operations, and improve citizen engagement through a digital-first government model.
Key Features:
Comprehensive analysis of ethical concerns, legal accountability challenges, and governance frameworks for machine-manipulated media.
Visit ResourceWEF report on how AI will augment existing creative jobs, create new fields and roles, and lower barriers to entry for creative work.
Visit ResourceClear understanding of AI decision-making processes
Active measures to prevent and address bias
Clear lines of human responsibility for AI systems
Robust safeguards for personal and sensitive data
Meaningful human control over AI systems
Reliable and secure AI system performance
Adherence to applicable laws and regulations
Multi-stakeholder partnerships and cooperation
See how these principles are being implemented across industries and sectors worldwide.
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