Jakub Szarmach

Assessing High-Risk Artificial Intelligence with Respect to Fundamental Rights

Artificial Intelligence Impact Assessment Tool

Architectures of Global AI Governance: From Technological Change to Human Choice

Architecting Secure Enterprise AI Agents with MCP

AI Security Institute – Frontier AI Trends Report (December 2025)

AI Model Risk Management Framework

AI Literacy Whitepaper: Understanding and Implementing AI Literacy (Version 0.3)

AI Incident Response: Adapting Proven Complex Systems Engineering Practices for AI-Enabled Systems

AI in Strategic Foresight: Reshaping Anticipatory Governance

AI Governance at the Frontier: Unpacking Foundational Assumptions

AI for Security and Security for AI: Navigating Opportunities and Challenges

Agentic AI: Fostering Responsible and Beneficial Development and Adoption

Administering and Governing Agents

A practical guide to implementing AI ethics governance

A Guide to Fundamental Rights Impact Assessments (FRIA)

AIGL Newsletter #14: Xmas Special

AIGL Newsletter #13: EU AI Act Resources

AIGL Newsletter #12: Risk Management Frameworks

NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0)

AIGL Newsletter: New Arrivals #11

Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents

THE STATE OF STATE AI: Legislative Approaches to AI in 2025 (October 2025)

Securing Artificial Intelligence (SAI); Baseline Cyber Security Requirements for AI Models and Systems (Draft ETSI EN 304 223 V2.0.0)

Safety Frameworks and Standards: A comparative analysis to advance risk management of frontier AI