Wharton study finds managers divided over accountability for AI errors

A survey of 1,416 US enterprise leaders and employees shows accountability for AI errors splits almost evenly across employees, managers, and risk teams Companies are handing AI agents more independence at work. They have not yet decided who answers for it when those agents get something wrong. That’s the core finding of a new report from the Wharton School of the University of Pennsylvania, produced with research firm GBK Collective. When asked who should be accountable after an AI system fails, respondents did not converge on an answer.

BeCrypto News shows a short excerpt and links to the publisher. The full report belongs to Crypto Briefing.