As artificial intelligence (AI) continues to shape industries and societies, the need for responsible AI practices grows increasingly important. Organisations across the globe are establishing frameworks to ensure AI development aligns with ethical principles, mitigates risks, and enhances transparency. This article serves as a comprehensive resource hub, highlighting various responsible AI and risk management frameworks that provide guidance across sectors. From foundational governance models to industry-specific guidelines, these resources aim to help stakeholders adopt trustworthy and inclusive AI systems.
Explore the curated list below, categorised by key themes including accountability, cybersecurity, fairness, data governance, and industry applications.
Foundational Frameworks
- Rolls Royce Aletheia Framework 2.0
- Google Responsible AI Practices
- Singapore Model AI Governance Framework 2e (Infocomm and Singapore PDPC)
- Digital Catapult AI Ethics Framework (Innovate UK)
- Microsoft Responsible AI Framework
- ISO/IEC 23894:2023 – Guidance on Risk Management for AI
- PAI’s Four Guiding Principles for Inclusive AI
- Hong Kong AI Ethical Development Guidance (OPCPD)
- Australia’s AI Ethics Principles
- AI Ethics Impact Group (VDE and BertelsmannStiftung) – From Principles to Practice
- Samsung’s AI Ethics Principles
- Salesforce AI Ethics Maturity Model
- NIST AI Risk Management Framework
- UK ICO Artificial Intelligence Toolkit
Accountability and Auditing
- US GAO Accountability Framework for Federal AI
- UK ICO AI Auditing Guidance
- Closing the AI Accountability Gap – End-to-End Algorithmic Auditing
- Framework for Reviewable Automated Decision-Making Systems
Benchmarking and Performance
- IEEE 2801-2022 – Quality Management of AI Medical Datasets
- ISO/IEC NP TS 12831 – Testing for AI Systems (Proposal)
- ISO/IEC AWI TS 29119-11 – AI Systems Testing
- IEEE 2937-2022 – Performance Benchmarking for AI Servers
Cybersecurity and AI Safety
- Databricks AI Security Framework (DASF)
- MITRE ATLAS™ – AI Threat Landscape
- CSA Singapore – AI Security Guidelines
- OWASP Top 10 for LLM Applications
- UK AI Cybersecurity Code of Practice
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