Who's to blame if AI fails at work? Wharton study shows a split

While concerns of rogue AI agents have dominated headlines in recent months, the more immediate risk to companies may be far more ordinary and mundane. — Unsplash

Companies are giving artificial-intelligence (AI) systems more autonomy to boost productivity and efficiency. But as bots take on more responsibility, executives, managers and employees remain unclear on who should be held accountable when something goes wrong.

A new report published on Oct 13 by the Wharton School of the University of Pennsylvania found little agreement among managers. When asked who should be held responsible when a bot "makes a consequential error,” respondents were split roughly evenly between the employee deploying the AI agent, the employee’s manager and the company’s risk team, with about a quarter choosing each. Roughly 10% blamed the vendor, while a similar share said they weren’t sure who should be held accountable.

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尽管近几个月来，关于失控人工智能代理的担忧占据了各大媒体的头条，但企业面临的更直接的风险可能远比这更普通、更平凡。—— Unsplash

为了提高生产力和效率，企业正在赋予人工智能（AI）系统更大的自主权。但随着机器人承担更多责任，高管、经理和员工仍然不清楚，一旦出现问题，应该由谁来承担责任。

宾夕法尼亚大学沃顿商学院10月13日发布的一份新报告显示，管理者们对此几乎没有达成共识。当被问及如果机器人“犯下重大错误”，谁应该承担责任时，受访者的意见大致平均分配在部署人工智能代理的员工、员工的经理和公司风险团队之间，约有四分之一的人选择了这三者中的任何一个。约10%的人将责任归咎于供应商，另有相当比例的人表示不确定应该由谁负责。

超过半数的员工感到被迫使用办公机器人。错误越来越多。

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