Policy

AI Liability Along the Value Chain

NIST: Reducing Risks Posed by Synthetic Content An Overview of Technical Approaches to Digital Content Transparency

METHODOLOGY FOR THE RISK AND IMPACT ASSESSMENT OF ARTIFICIAL INTELLIGENCE SYSTEMS FROM THE POINT OF VIEW OF HUMAN RIGHTS, DEMOCRACY AND THE RULE OF LAW (HUDERIA METHODOLOGY)

Competences and governance practices for artificial intelligence in the public sector

Roles and Responsibilities Framework for Artificial Intelligence in Critical Infrastructure

The Anatomy of AI Rules A systematic comparative analysis of AI rules across the globe

Harmonised Standards for the European AI Act

Navigating AI Compliance Part 1: TRACING FAILURE PATTERNS IN HISTORY

FRAMEWORK TO ADVANCE AI GOVERNANCE AND RISK MANAGEMENT IN NATIONAL SECURITY

Artificial Intelligence-Enabled Device Software Functions- Lifecycle Management and Marketing Submission Recommendations

AI Impact Assessment The tool for a responsible AI project

AI GOVERNANCE AND ETHICS – GENERATIVE AI Expanded Guide

Regulatory Sandboxes for AI and Cybersecurity – Questions and Answers for Stakeholders

Towards a Future of Responsible AI

Identifying the Economic Implications of Artificial Intelligence for Copyright Policy

Standard for AI transparency statements

Principles for Evaluating Misuse Safeguards of Frontier AI Systems

Forging global cooperation on AI risks: cyber policy as a governance blueprint.

Looking Ahead: Synergies Between the EU AI Office and UK AISI

Governance of Artificial Intelligence in the Military Domain: A Multi-stakeholder Perspective on Priority Areas

Third Draft of the General-Purpose AI Code of Practice

Draft: Critical AI Security Guidelines v1.1 (2024)