Publikācijas

EIT AI & Robotics Community invites Master's and PhD students and graduates with AI or robotics expertise to apply for the

On 8 September 2026, the UK Department for Science, Innovation and Technology (DSIT) published its AI Risk Management Toolkit, alongside an accompanying workbook, to help public…

Citizen Auditing and the AAAP Protocol: An Experimental Accountability Layer for AI Platforms and Democratic Digital Infrastructure

An invitation to discuss, test and challenge the proposal…

“Uranium-Grade Control over AI Agents Is Achievable.”

By “uranium-grade,” I use the term purely as an analogy for exceptionally high control rigor — a very high level of technical control…

AI systems are increasingly capable of initiating consequential actions in digital and physical environments: transferring funds, altering records, sending binding…

As AI systems evolve from conversational tools into increasingly agentic systems capable of retrieving information, coordinating specialised components, proposing decisions and initiating…

This guide, produced by AI & Partners, provides organisations with a structured, evidence-based framework for assessing and strengthening AI governance maturity across six pillars: Strategy …

Summary

The EU AI Act largely regulates the market placement of systems — risk classification, conformity, post-market surveillance of products. A…