In high-stakes environments, responsibility for AI system decisions should be clearly defined within an organization's governance framework, ensuring accountability at multiple levels, including developers, operators, and decision-makers. This involves establishing clear lines of responsibility, implementing robust oversight mechanisms, and ensuring transparency in AI decision-making processes.

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