AI ethics problem may lie with organizations, not engineers, study finds
A study suggests that failures in AI ethics stem primarily from organizational structures and incentives rather than from the individual choices or awareness of the engineers building the systems.
Why this matters: This matters because it shifts where you look when AI causes harm. If the problem is organizational, then training engineers to "think ethically" does not fix much. The pressure, the deadlines, the business model, the approval process — those are what shape what actually gets built. Accountability belongs to the institutions making those calls, not just the people writing the code. That also means regulatory fixes aimed only at individual developers are probably aimed at the wrong target.
Who should care: General readers · AI governance · Policy
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