When is it permissible for artificial intelligence to lie? A trust-based approach
Not on the map. Why?
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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- 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
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- 2020Taking Principles Seriously: A Hybrid Approach to Value Alignmentcited by 13
1 more
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Citing papers per year: 2022: 1; 2023: 1.
2 papers.
- 2022Towards a Roadmap on Software Engineering for Responsible AIcited by 9
- 2023Deceptive AI Ecosystems: The Case of ChatGPTcited by 7
- 2023Deceptive AI Ecosystems: The Case of ChatGPT18 Jun 2023
- 2022Towards a Roadmap on Software Engineering for Responsible AI9 Mar 2022