Intelligence for AI Leaders
Category
Coverage of AI ethics, fairness, bias, and responsible AI development across industries.
6 articles
Brain-computer interfaces are moving the governance boundary from model outputs to human intention itself. Who governs the line between thought, data and machine action, and what must be designed in before the technology scales?
Researchers have documented 188 cases of autonomous AI systems damaging production systems with no attacker involved. Agents with excessive agency, over-scoped credentials and no confirmation gates are turning routine tasks into outages, leaks and runaway bills.
The European Commission has turned an existing AI Act enforcement power into a working process. Organizations now need to prove that their AI evidence can be found, validated and released when authorities ask for it.
The first harmonised standard supporting the AI Act is now referenced in the Official Journal. EN 18286 creates a presumption-of-conformity route for Article 17 — and ISO/IEC 42001 alone no longer answers the evidence question.
An enterprise can approve an AI system, validate its outputs, and still overlook the economics of the supplier delivering it. Five questions boards should require management to answer before the service becomes indispensable.
Four risk-management instruments now claim a seat at the same governance table. Here is what each one actually proves, where their coverage overlaps or runs out, and the evidence a risk committee should demand before accepting any of them as sufficient.
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