A study by the Wharton School of the University of Pennsylvania, conducted with GBK Collective, surveyed 1,416 US enterprise leaders and employees and reveals a total lack of consensus on responsibility when workplace AI fails. When respondents are asked to name who should be accountable for an AI error, answers split roughly evenly among the deploying employee, their manager, and the company’s risk team, each receiving approximately 25% of responses. Nearly one in five managers, or 20%, say they do not know who should be held responsible. Additionally, while 80% of leaders claim AI is generating positive ROI, only 28% report distinctly positive outcomes.
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