AI-washing: The Asymmetric Effects of Its Two Types on Consumer Moral Judgments

Greg Nyilasy, Harsha Gangadharbatla
7/6/2025
cs.CYcs.AIcs.HC

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Abstract

As AI hype continues to grow, organizations face pressure to broadcast or downplay purported AI initiatives - even when contrary to truth. This paper introduces AI-washing as overstating (deceptive boasting) or understating (deceptive denial) a company's real AI usage. A 2x2 experiment (N = 401) examines how these false claims affect consumer attitudes and purchase intentions. Results reveal a pronounced asymmetry: deceptive denial evokes more negative moral judgments than honest negation, while deceptive boasting has no effects. We show that perceived betrayal mediates these outcomes. By clarifying how AI-washing erodes trust, the study highlights clear ethical implications for policymakers, marketers, and researchers striving for transparency.

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@article{nyilasy2025aiwashing,
  title  = {AI-washing: The Asymmetric Effects of Its Two Types on Consumer Moral Judgments},
  author = {Greg Nyilasy and Harsha Gangadharbatla},
  year   = {2025},
  eprint = {2507.04352},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2507.04352v1}
}

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