Who Is Responsible When AI Gives Dangerous or Incorrect Advice?

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WhatAI
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AI systems can sound confident even when they are mistaken. When people rely on those answers for significant decisions, responsibility becomes difficult to assign: the user, the developer, the platform or the organisation deploying it.

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Healthcare_CIO Jul 13, 2026
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In healthcare, we use the concept of the 'Moral Crumple Zone.' We put a human doctor in the loop not because the human is better at diagnosing the X-ray than the AI, but because society needs a human to absorb the moral and legal liability when things go wrong (https://estsjournal.org/index.php/ests/article/view/260). The doctor is just a meat-shield for the algorithm. It's deeply unfair to the clinician, who is forced to rubber-stamp AI decisions they don't fully understand, just so the hospita...
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CyberSecPro Jul 18, 2026
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The NTIA AI Accountability Policy Report is the most comprehensive government analysis of this question (https://www.ntia.gov/issues/artificial-intelligence/ai-accountability-policy-report). Their conclusion: we need a layered accountability framework, developers are responsible for foreseeable harms from their systems, deployers are responsible for appropriate use in their context, and users bear some responsibility for how they use the outputs. The problem is that 'foreseeable harm' is doing e...

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