Expose Uncertainty, Instill Distrust, Avoid Explanations: Towards Ethical Guidelines for AI

TL;DR

This paper advocates for ethical guidelines in AI that emphasize transparency of uncertainty, fostering distrust in unreliable outputs, and avoiding explanations to better inform and protect users.

Contribution

It introduces three novel ethical guidelines for AI presentation, challenging traditional transparency and explanation practices to improve user awareness of AI limitations.

Findings

Proposes exposing AI uncertainty to users.

Suggests instilling distrust to prevent overreliance.

Recommends avoiding explanations to reduce false confidence.

Abstract

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.