Tag: AI Regulation
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Why Now for AI Governance
Part I: From Board Oversight to Framework Foundations A vivid scenario + why governance of AI matters now The boardroom is blinking to life. The room is familiar – executive chairs, polished oak table, the CEO at the head, the board director faces turned to the projection screen. Your organisation has just piloted a new…
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NIST AI RMF vs ISO/IEC 42001
From Risk Principles to Auditable Practice Most organisations now realise that AI governance can’t be improvised. Risk registers, codes of conduct, and policy checklists aren’t enough, not when regulators, investors, and auditors are watching. What’s missing is coherence across frameworks. Two standards now dominate that space: the NIST AI Risk Management Framework (AI RMF) and…
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Stochastic parrots and the illusion of understanding in AI
Imagine a parrot that has learned to mimic human speech. It can repeat complex phrases in multiple languages, yet it has no idea what those words mean. In the world of artificial intelligence, researchers have drawn an analogy between such parrots and today’s large language models (LLMs). These AI systems – from autocomplete tools to…
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MIT’s AI Agent Index: A Wake-Up Call for AI Governance?
The rise of agentic AI systems is reshaping the technological landscape. These AI models are capable of reasoning, planning, and executing complex tasks with minimal human oversight. Their integration into software engineering, robotics, and research opens new possibilities for automation, efficiency, and decision-making. However, these advancements also present serious challenges related to safety, transparency, and…