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A cautionary tale about the impact of AI on human design teams
Design Studies ( IF 3.2 ) Pub Date : 2021-01-22 , DOI: 10.1016/j.destud.2021.100990
Guanglu Zhang , Ayush Raina , Jonathan Cagan , Christopher McComb

Recent advances in artificial intelligence (AI) offer opportunities for integrating AI into human design teams. Although various AIs have been developed to aid engineering design, the impact of AI usage on human design teams has received scant research attention. This research assesses the impact of a deep learning AI on distributed human design teams through a human subject study that includes an abrupt problem change. The results demonstrate that, for this study, the AI boosts the initial performance of low-performing teams before the problem change but always hurts the performance of high-performing teams. The potential reasons behind these results are discussed and several suggestions and warnings for utilizing AI in engineering design are provided.



中文翻译:

关于AI对人类设计团队的影响的警示故事

人工智能(AI)的最新进展为将AI集成到人类设计团队中提供了机会。尽管已经开发了各种AI来辅助工程设计,但是AI的使用对人类设计团队的影响却很少受到研究关注。这项研究通过包括突然的问题变化在内的人类主题研究,评估了深度学习AI对分布式人类设计团队的影响。结果表明,对于本研究,人工智能在问题改变之前提高了绩效低下团队的初始绩效,但始终损害了绩效高下团队的绩效。讨论了这些结果背后的潜在原因,并提供了在工程设计中使用AI的一些建议和警告。

更新日期:2021-01-22
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