Guide

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

Competences and governance practices for artificial intelligence in the public sector

Applying Data Protection Principles to Generative AI: Practical Approaches for Organizations and Regulators

Standards as a Basis for the Global Governance of Al in Research

Roles and Responsibilities Framework for Artificial Intelligence in Critical Infrastructure

Ethics in Action: From White Paper to Workplace

EU AI Act Compliance Matrix

Navigating AI Compliance Part 1: TRACING FAILURE PATTERNS IN HISTORY

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

Fundamental Rights Impact Assessments: What are they? How do they work?

AI Impact Assessment The tool for a responsible AI project

AI GOVERNANCE AND ETHICS – GENERATIVE AI Expanded Guide

THE AI ACT: ROAD TO COMPLIANCE

Assessing Al Surveying the Spectrum of Approaches to Understanding and Auditing Al Systems

Transfer Impact Assessment – Practical Guide (January 2025)

AI Act & Guidelines on Prohibited Artificial Intelligence (AI) Practices: An Analysis for the Emotion Recognition Field

Artificial Intelligence Playbook for the UK Government

Agentic AI - Threats and Mitigations

Principles for Evaluating Misuse Safeguards of Frontier AI Systems

GDPR when using by generative AI

ISO 42001 Guide / Checklist

Lean meets Data & Generative AI

NIST Guidelines for Evaluating Differential Privacy Guarantees

The Model Trust Score: The Framework for Strategic Enterprise AI Model Selection