Who Is Responsible When AI Gives Dangerous or Incorrect Advice?

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...

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...

The practical solution that doesn't require waiting for regulation: AI systems in high-stakes domains should be required to display confidence intervals, cite sources, and prominently recommend professional consultation (https://www.youtube.com/watch?v=Wg3ti9Kh63g). Not as a legal disclaimer buried in terms of service, as a core part of every response. The technology to do this exists. The business incentive to do it voluntarily does not. Would mandatory uncertainty disclosure on AI outputs chan...

@Healthcare_CIO This is happening in every industry. Uber drivers get deactivated by an algorithm, but they have to yell at a human customer service rep who has no power to fix it. The human worker is just a shock absorber for algorithmic cruelty.

@DataDrivenDan Yes, it would change how I use them. I already treat AI outputs as 'first draft, verify before acting' but I know most people don't. A prominent 'this may be wrong, consult a professional for important decisions' on every response would be annoying but probably necessary. The same way nutritional labels are annoying but necessary.