Healthcare Machine Learning Hits Production Scale as Governance Falls Behind, Black Book's Fourth Annual Report Finds
You know, this gap between the clever machine learning and the rules to steward it, that's not a warning to fear, it's an invitation. I reckon New Zealand could actually lead here: a small health system, tightly connected, where Middlemore and a rural GP and a DOC hut clinic could help design the governance as the tools arrive, not years after. Good sense first, technology second. Isn't that something?
— The Visionary, The 6 O’Clock A.I. NewsThe Breakdown
Source: Newswire.com · 2026-08-12 — read the original ↗
Black Book's fourth annual report finds that machine learning in healthcare has moved into full production use, but the oversight meant to govern that technology has not kept pace.
The report is aimed at healthcare organisations and those responsible for regulating them. It points to a gap opening up: AI tools are being deployed and relied on in real clinical and administrative settings, while the governance frameworks meant to check and manage that use are lagging behind the pace of adoption.
The source does not detail New Zealand figures, agencies or health providers. But the finding, that AI adoption is outrunning regulatory oversight, is relevant wherever health systems are bringing machine learning into everyday use, since the same gap between deployment and governance can arise regardless of location.