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AI Governance

103 summarised stories about AI Governance, each linking back to the original source. Browse all topics →

Tuesday, 7 July 2026

The Scientific Panel of Independent Experts: What Is It And How Does It Work?

AI Act 1 week ago

The EU AI Act established a Scientific Panel of up to 60 independent experts to advise the AI Office and national authorities on enforcement of general-purpose AI rules, with members appointed on 1 June 2026. The panel can issue qualified alerts when it suspects a GPAI model poses systemic risks if training compute exceeds 10^25 floating-point operations, and can request information from model providers through the AI Office. The panel's advice on model classification, risk assessment, and evaluation methodologies will directly inform enforcement actions and additional compliance obligations imposed on AI providers.

The foundational elements of AI architecture that IT leaders need to scale

MIT Technology Review AI 1 week ago

IT leaders should prioritize four foundational elements of AI architecture: data preparation at scale, context engineering, governance and observability built from the start, and maintaining human expertise in the loop. Gartner predicts that 60% of all AI projects will be abandoned through 2026 without AI-ready data infrastructure, and 85% of IT decision makers expect to enable LLM observability for their internal generative AI applications by 2026. Organizations that invest in these underlying systems and governance structures can move from experimentation to reliable production-level deployment while remaining adaptable as AI technology continues to evolve.