HBR  |  Generative AI

Why People Create AI “Workslop”—and How to Stop It

人们为什么制造AI“Workslop”——以及如何制止它

Why People Create AI “Workslop”—and How to Stop It
2026-01-16  726  中等
字体大小

  • At one company, employee use of vibe coding created scores of critical bugs in the codebase, causing one engineer to “resent his team so much” that he left with two days’ notice.
  • At another company, a qualitative researcher described feeling “gaslit” and “angry” after their manager put their research findings into ChatGPT to generate tables and a discussion section. “The results were incorrect and the discussion section was jargon-y nonsense,” they told us. They were upset “not only because it was unhelpful,” but because their work was put into ChatGPT without their permission. “It felt violating.”
  • One employee at a technology company noticed the tone in their performance review was unlike their manager and that the document recycled content from their self-evaluation. The experience made them feel “unvalued and unappreciated,” and they “gave up all hope” they would ever be promoted.

请登录后继续阅读完整文章

还没有账号?立即注册

成为会员后您将享受无限制的阅读体验,并可使用更多功能,了解更多


免责声明:本文来自网络公开资料,仅供学习交流,其观点和倾向不代表本站立场。