Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI
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Abstract (arXiv)
In this position paper, I argue that the best way to help and protect humans using AI technology is to make them aware of the intrinsic limitations and problems of AI algorithms. To accomplish this, I suggest three ethical guidelines to be used in the presentation of results, mandating AI systems to expose uncertainty, to instill distrust, and, contrary to traditional views, to avoid explanations. The paper does a preliminary discussion of the guidelines and provides some arguments for their adoption, aiming to start a debate in the community about AI ethics in practice.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Nov 2021.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 2.
3 papers.
- 2023Toward General Design Principles for Generative AI Applicationscited by 21
- 2025Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Taskscited by 4
- 2025Actionable AI: Enabling Non Experts to Understand and Configure AI Systemscited by 0
- 2025Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks11 Sep 2025
- 2025Actionable AI: Enabling Non Experts to Understand and Configure AI Systems9 Mar 2025
- 2023Toward General Design Principles for Generative AI Applications13 Jan 2023