Category Archives: ai

When Adoption Becomes The Goal, Risk Becomes Invisible By Design

This article examines how AI risk is obscured when organisations prioritise adoption over governance. Drawing on real-world examples, it argues that widespread AI usage is already endemic; but largely shallow, uncontrolled, and poorly understood. In regulated environments, optimising for uptake before addressing data lifecycle, verification, leakage, and accountability is not innovation, but a dangerous substitution of metrics for responsibility.

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Unable To Load Conversation: Why ChatGPT Is Not Infrastructure

A case study in how “AI support” fails the moment it actually matters. This article documents the loss of a critical ChatGPT workspace conversation through backend failure, followed by a support process that denied reality, looped incompetently, and ultimately could not accept its own diagnostic evidence. It exposes systemic fragility, misplaced corporate faith in “Copilot”, and why treating LLMs as reliable infrastructure, especially in regulated environments, is reckless.

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When Everyone’s an Expert: What AI Can Learn from the Personal Trainer Industry

As AI adoption accelerates, expertise is increasingly “performed” rather than earned. By comparing AI’s current hype cycle with the long-standing lack of regulation in the personal trainer industry, this piece examines how unregulated expertise markets reward confidence over competence, normalise harm, and erode trust. The issue isn’t regulation for its own sake; it’s accountability before failure becomes infrastructure.

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