mlsanityData to 7 Oct 2026

When is it permissible for artificial intelligence to lie? A trust-based approach

arXiv 2103.05434 ↗First posted 9 Mar 2021cs.CY cs.AIcited by 2

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Abstract (arXiv)

Conversational Artificial Intelligence (AI) used in industry settings can be trained to closely mimic human behaviors, including lying and deception. However, lying is often a necessary part of negotiation. To address this, we develop a normative framework for when it is ethical or unethical for a conversational AI to lie to humans, based on whether there is what we call "invitation of trust" in a particular scenario. Importantly, cultural norms play an important role in determining whether there is invitation of trust across negotiation settings, and thus an AI trained in one culture may not be generalizable to others. Moreover, individuals may have different expectations regarding the invitation of trust and propensity to lie for human vs. AI negotiators, and these expectations may vary across cultures as well. Finally, we outline how a conversational chatbot can be trained to negotiate ethically by applying autoregressive models to large dialog and negotiations datasets.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 13 of its 56 references that are in the map. First posted on arXiv 9 Mar 2021.

Builds on

13 of 56 references.

References · 13

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1 more
  1. 2018Mimetic vs Anchored Value Alignment in Artificial Intelligencecited by 3

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2 papers.