AI GOVERNANCE AND ETHICS – GENERATIVE AI Expanded Guide
This expanded guide builds on the 2024 ASEAN AI Governance and Ethics framework, zooming in on the specific risks and policy needs surrounding generative AI (Gen AI).
THE AI ACT: ROAD TO COMPLIANCE
This guide breaks down how internal auditors should prepare for the AI Act, which came into force in August 2024.
AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking
AI Tools in Society- Impacts on Cognitive Offloading and the Future of Critical ThinkingAI Tools in Society- Impacts on Cognitive
Assessing Al Surveying the Spectrum of Approaches to Understanding and Auditing Al Systems
This report by CDT’s AI Governance Lab maps out the wide array of methods used to evaluate AI systems—from impact assessments and audits to red-teaming and formal assurance.
Chinese Critiques of Large Language Models Finding the Path to General Artificial Intelligence
This CSET report unpacks how China is hedging its bets on general artificial intelligence (GAI) by pursuing a mix of technical strategies—unlike the West’s heavy focus on large language models (LLMs).
Transfer Impact Assessment – Practical Guide (January 2025)
Getting international data transfers right is one of the toughest parts of GDPR compliance. This practical guide from CNIL lays out how to run a Transfer Impact Assessment (TIA) without guesswork.
Regulatory Sandboxes for AI and Cybersecurity – Questions and Answers for Stakeholders
Regulatory sandboxes aren’t just buzzwords—they’re fast becoming one of the EU’s go-to tools for managing fast-moving AI and cybersecurity risks. This white paper brings together legal, technical, and policy perspectives to offer a grounded roadmap for building and using sandboxes the right way.
Living Repository of AI Literacy Practices v. 31.01.2025
This “living repository” shows how companies are starting to take that seriously—with real, varied, and often creative approaches to staff training.
Intolerable Risk Threshold Recommendations for Artificial Intelligence
Frontier AI is powerful—but how powerful is too powerful? This Berkeley-led paper proposes a framework for defining and managing intolerable risks, pushing governments and industry to stop waiting for disaster and start drawing lines. It’s a toolkit for acting before things go wrong.
AI Act & Guidelines on Prohibited Artificial Intelligence (AI) Practices: An Analysis for the Emotion Recognition Field
This 2025 paper by Iren, Noldus, and Brouwer offers a much-needed guide to how the EU’s AI Act and the Commission’s new guidelines apply to the emotion recognition field—one of the most contentious areas of affective computing.
Towards a Future of Responsible AI
This white paper from the UAE’s AI Office captures a rare, high-level dialogue on responsible AI, convened at the World Governments Summit.
International AI Safety Report
This landmark report brings together 96 global experts to create the first shared scientific baseline on general-purpose AI risks and safety. It doesn’t recommend policies—it equips governments, researchers, and regulators with what’s known (and what’s not) so far.
Identifying the Economic Implications of Artificial Intelligence for Copyright Policy
This U.S. Copyright Office report maps out the toughest economic questions about AI and copyright, without pretending to have the answers.
Standard for AI transparency statements
Accountability starts with visibility—especially when AI is doing the work.
Artificial Intelligence Playbook for the UK Government
The Artificial Intelligence Playbook for the UK Government (Feb 2025), created by the Government Digital Service, is the UK’s most comprehensive public guidance for safely deploying AI across government bodies.
LLM AI Cybersecurity & Governance Checklist
The OWASP Top 10 LLM AI Cybersecurity & Governance Checklist (v1.1, April 2024) is a practical guide for organizations planning to use large language models. I
The AI responsibility gap: Why leadership is the missing link
Innovation’s racing ahead. Responsibility’s limping behind. And leadership? It’s stuck in the middle.
Business applications of Artificial Intelligence: A framework to categorise AI use cases
This isn’t just another AI hype deck. It’s a grounded framework to help real businesses figure out where to start, what matters, and what to watch out for.
Agentic AI - Threats and Mitigations
Agentic AI, powered by LLMs, brings new risks that outpace traditional app security models. This guide is a much-needed attempt to slow things down and make sense of what we’re dealing with.
Principles for Evaluating Misuse Safeguards of Frontier AI Systems
A detailed 5-step framework for evaluating technical safeguards against misuse of advanced AI systems. It calls for clear safeguard requirements, a documented plan, evidence gathering, ongoing assessment, and explicit justification of sufficiency.
Forging global cooperation on AI risks: cyber policy as a governance blueprint.
This report, published by the Paris Peace Forum’s Strategic Foresight Hub, proposes cyber policy as a blueprint for global AI risk governance. It focuses on adversarial use of AI in cyberspace, offering a scalable model for global coordination and institutional response.
GDPR when using by generative AI
Public authorities can use generative AI responsibly if they follow GDPR. That’s the message behind this clear and practical guide from Sweden’s data protection authority.
ISO 42001 Guide / Checklist
This practical guide by Rhymetec walks SaaS and tech companies through ISO 42001—the first international standard focused on AI management systems.
TOWARDS A COMMON REPORTING FRAMEWORK FOR AI INCIDENTS
This OECD report proposes a unified framework for AI incident reporting—offering policymakers a timely and globally adaptable tool to track, assess, and learn from harms linked to AI.
