Beiträge getaggt mit "Trustworthy AI"

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…

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

Summary

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

Yesterday, I came across the recent OpenAI “wiki incident”, and it gave me a very different perspective on the governance challenges emerging with multi-agent AI.

It…

AI is moving beyond generation into consequential organisational use. It drafts, summarises, extracts, classifies, recommends and prepares material from which organisations create records, reports…

Generation is a capability. It should not always be the default execution mode.

Recently, I asked an AI system to compare two supplier quotations and prepare a price…

Artificial intelligence governance should not stop at principles, policies or model-level evaluation.

As AI systems become increasingly multi-model, agentic and embedded in…

Organizations are moving rapidly from AI experimentation toward decisions involving material investment, external providers, operating-model changes, workforce impact, governance obligations, and…

The EU Artificial Intelligence Act (Regulation (EU) 2024/1689) relies primarily on providers’ self-assessment to demonstrate compliance. Regulatory access under Articles 21 and 74 is conditional…