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Articles by Carmem Domingues
The cognitive balance sheet: Auditing the national intelligence reserve
Leaders across both the public and private sectors are facing significant pressure to adopt artificial intelligence across their organisations. The promise is that AI is the new engine of efficiency, making employees smarter and more productive, helping organisations move faster and more effectively. At the same time, increased AI-related layoffs across industries stoke fears among workers, who feel they must learn how to adopt AI quickly or be replaced by it.
The seduction of the ‘Yes’ button: From automation bias to augmented judgment
In Part 3 of our ‘Government 3.0’ series, Victor Dominello and Carmem Domingues discuss the risks of passively accepting the baked-in bias of AI automation. Part 2 argued that faster processes are not the same as better public outcomes, and Part 1 discussed the need for AI that sharpens thinking rather than just speeding up processes. In the age of AI, the greatest risk to government integrity is not that machines become too smart, but that humans become too passive.
Stop building high-speed highways to goat tracks
In Part 1 of this series, Victor Dominello and Carmem Domingues explained why Government 3.0 requires AI that sharpens thinking, not just speeding up processes. Now they look at how to overcome the ‘productivity paradox’. The promise of AI in the public sector is a dangerous half-truth. We are told it will clear backlogs and transform efficiency, but without a shift in architecture, AI is simply a turbocharger for a broken engine.
AI productivity test: Brain drain or gain?
AI promises to transform government efficiency — clear backlogs and speed up services. But the risk is quieter: AI can make bad answers sound authoritative, and in busy public systems, confident advice gets adopted fast. Visit any emergency department at peak time. The problem is universal: patients can’t move through fast enough. In Australia, “access block” means ED patients wait over eight hours for inpatient beds.
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