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    How Ethical Theories Can Help Build Effective AI Governance in Organizations: Evidence From a Case Study at E-Commerce Company OTTO
    Governing artificial intelligence at the organizational level (AIG) is crucial to ensure that the technologies are used responsibly. The literature has largely focused on identifying suitable means to govern technologies that learn from data and are no longer deterministic. However, there remains considerable uncertainty about what ‘responsible’ use of AI means, and how governance will bring it about. This study addresses these conceptual issues by bringing ethical theories (consequentialism, deontology, and virtue ethics) into the AIG discourse. We first use these ethical theories to clarify the meaning(s) of responsibility and to develop action-theoretical mechanisms that relate governance to the organizational use of AI. Which we then apply in an in-depth case study at Germany’s leading e- commerce company, OTTO. We find that AIG encompasses three dimensions of responsibility (calculated, compliant, and competent use of AI) and that governance measures exhibit both the strengths and weaknesses of the ethical theories on which they are implicitly based. We conclude that governing AI for responsible use depends on situated judgment of individual decision makers but are currently under-theorized. Hence, we propose an alternative view that understands AIG as an ongoing, dialogical reflection between those who design AIG measures and those who enact them.
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