Jakub Szarmach

AI Security Institute Frontier AI Trends Report

Assuring a responsible future for AI: Accelerating the growth of the UK’s AI assurance market

AI and cyber security: what you need to know

The Model for Responsible Innovation: A practical tool for trustworthy adoption of AI in the public sector

AI Governance around the world: Country Profile: United Kingdom

Industry Temperature Check: Barriers and Enablers to AI Assurance

Machine learning principles

Responsible AI in recruitment

Starter Kit for Testing LLM-Based Applications for Safety and Reliability

Artificial Power 2025 Landscape Report

Guidelines for AI and Shared Prosperity: Tools for improving AI’s impact on jobs

Summary of Adding Structure to AI Harm

Summary of “AI Governance at the Frontier: Unpacking Foundational Assumptions”

Classifying AI Systems

Model AI Governance Framework for Generative AI: Fostering a Trusted Ecosystem

Key Takeaways from “Enabling Principles for AI Governance”

Key Takeaways from “Harmonizing AI Guidance: Distilling Voluntary Standards and Best Practices into a Unified Framework”

AI Governance Testing Framework and Toolkit Summary Report: Binary Classification Model for Credit Risk

Policy Proposals: Artificial Intelligence: The Opportunity to Transform the UK’s Resilience to Extreme Risks

Responsible Scaling: Comparing Government Guidance and Company Policy

Summary of Repurposing the Wheel: Lessons for AI Standards

Summary of “Skating to Where the Puck is Going: Anticipating and Managing Risks from Frontier AI Systems”

Strengthening Resilience to AI Risk: A guide for UK policymakers

Scheming in the wild: Detecting real-world AI scheming incidents with open-source intelligence