Pygar insights

Think more clearly before the decision is made.

Practical perspectives on questions, assumptions and decisions—written to support human judgement, not replace it.

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A hospital clinician pausing to annotate a printed patient report by hand at a ward desk, weighing it against an on-screen recommendation
Ethical dimensions of AI-assisted decisions

Who Is Accountable When an AI-Assisted Decision Goes Wrong?

A practical guide to accountability in AI-assisted decisions: who owns the input, the reasoning and the outcome, and how to keep human judgement in the frame.

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