Rethink Responsibility in the Age of AI
针对AI决策中传统问责模式失效的问题，提出叙事责任框架，通过追溯失败故事、分散团队责任和嵌入日常反思，帮助组织应对AI决策的复杂性。
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.