As artificial intelligence systems increasingly mediate organizational decision-making, the locus of ethical responsibility has shifted from purely technical design questions to questions of leadership judgment and governance. This symposium examines the ethical tensions that arise when AI systems — often opaque, and trained on historically biased data — are integrated into high-stakes decision processes, and argues that responsible leadership must be reconceived to address these tensions directly rather than treating them as compliance afterthoughts.

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