This framework distributes ownership in AI decision-making, highlighting necessary reflection in organizations adapting to AI.
As AI systems take on more organizational decision-making, traditional models of accountability — focused on identifying a single culprit when something goes wrong — are breaking down. Drawing on recent research, the authors introduce narrative responsibility, a framework that maps the real story behind failures, distributes ownership across teams, and embeds ongoing reflection into everyday practice. This approach is essential for organizations navigating the complexity of AI-enabled decisions.
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Vaujany et al. (2026) studied this question.
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