Australia AI Ethics Framework
A voluntary national framework establishing eight core ethical principles to guide the responsible design, development, and deployment of AI systems by Australian organisations.
Australian Government Department of Industry, Science and Resources (DISR)
EU AI Office Framework
The institutional and regulatory framework establishing the European AI Office as the central EU body responsible for supervising general-purpose AI models, enforcing the EU AI Act at the supranational level, and coordinating AI governance across EU member states.
European AI Office, European Commission
Executive Order 14110 on Safe, Secure, and Trustworthy Artificial Intelligence
Landmark U.S. presidential directive establishing comprehensive federal requirements for the safe development and deployment of AI, including mandatory safety reporting for frontier models, standards development mandates to NIST, and cross-agency coordination obligations.
Executive Office of the President of the United States
IMDA Model AI Governance Framework
A voluntary, principles-based framework issued by Singapore's IMDA and PDPC providing organisations with detailed guidance on deploying AI responsibly, covering human oversight, decision-making accountability, and operational transparency.
Infocomm Media Development Authority (IMDA) and Personal Data Protection Commission (PDPC), Singapore
ISO/IEC 42001:2023 – Information Technology – Artificial Intelligence – Management System
The first internationally certified AI management system standard, providing a structured framework for establishing, implementing, maintaining, and continually improving an organization's AI management system (AIMS), with certifiable requirements applicable to any organization that develops, provides, or uses AI-based products and services.
International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC), Joint Technical Committee ISO/IEC JTC 1, Subcommittee SC 42
ISO/IEC 23894 AI Risk Management
An international standard providing guidance on how organisations can manage AI-specific risks by integrating AI risk management into enterprise-wide risk management frameworks. ISO/IEC 23894 adapts the ISO 31000 risk management vocabulary and process model to the distinctive characteristics of AI systems, including emergent behaviour, data dependency, opacity, and sociotechnical complexity.
International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC), Joint Technical Committee 1, Subcommittee 42 (JTC 1/SC 42)
ISO/IEC 24028 AI Trustworthiness
ISO/IEC 24028:2020 provides a comprehensive overview of trustworthiness concepts, characteristics, and threats in AI systems, offering a structured technical and organizational framework for assessing and improving the trustworthiness of AI across the system lifecycle.
International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC), Joint Technical Committee JTC 1, Subcommittee SC 42 (Artificial Intelligence)
ISO/IEC 24029 Robustness of Neural Networks
ISO/IEC 24029 is a multi-part international standard providing formal methods and practical assessment approaches for evaluating the robustness of artificial neural networks (ANNs), addressing susceptibility to adversarial inputs, distributional shift, and other failure modes critical to trustworthy AI deployment.
International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC), Joint Technical Committee JTC 1, Subcommittee SC 42 (Artificial Intelligence)
NIST AI 600-1 Generative AI Profile
A companion resource to the NIST AI RMF 1.0 that provides structured guidance for managing the unique risks presented by generative AI systems, including large language models and multimodal foundation models.
National Institute of Standards and Technology (NIST), U.S. Department of Commerce
NIST Artificial Intelligence Risk Management Framework Playbook
Voluntary, use-case-agnostic operational companion to the NIST AI Risk Management Framework (AI RMF 1.0) that provides structured, actionable guidance, suggested actions, and example outputs for implementing the four core AI RMF functions-GOVERN, MAP, MEASURE, and MANAGE-across the AI system lifecycle.
National Institute of Standards and Technology (NIST), U.S. Department of Commerce
OECD AI Principles
The OECD AI Principles are the first intergovernmental standard on AI, establishing five value-based principles and five recommendations for governments to promote trustworthy AI that respects human rights and democratic values.
Organisation for Economic Co-operation and Development (OECD)