We Are Not Pontius Pilate: Acknowledging Ethics and Policy

J. Hughes, W. Hannah, P. Kikkert, B. MacKenzie, W. Ashlock, S. Houghten, D. Ashlock, Matthew Stoodley, Michael Dubé, Rachel Brown, Amanda Saunders
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Abstract

A new AI system is being developed to optimize vaccination strategies based on the structure and shape of a community’s social contact network. The technology is minimally constrained and not bound by preconceived notions or human biases. With this come novel outside the box strategies; however, the system is only capable of optimizing what it is instructed to optimize, and does not consider any ethical or political concerns. With the growing concern for systematic discrimination as a result of artificial intelligence, we acknowledge a number of relevant issues that may arise as a consequence of our new technology and categorize them into three classes. We also introduce four normative ethical approaches that are used as a framework for decision-making. Despite the focus on vaccination strategies, our goal is to improve the discussions surrounding public concern and trust over artificial intelligence and demonstrate that artificial intelligence practitioners are addressing these concerns.
我们不是彼拉多:承认伦理与政策
正在开发一种新的人工智能系统,以根据社区社会联系网络的结构和形状优化疫苗接种策略。这项技术的限制最小,不受先入为主的观念或人类偏见的束缚。随之而来的是新颖的跳出框框的策略;然而,该系统只能够优化它被指示优化的东西,而不考虑任何道德或政治问题。随着人们对人工智能带来的系统性歧视的日益关注,我们承认,由于我们的新技术,可能会出现一些相关问题,并将它们分为三类。我们还介绍了作为决策框架的四种规范性伦理方法。尽管重点关注疫苗接种策略,但我们的目标是改善公众对人工智能的关注和信任的讨论,并证明人工智能从业者正在解决这些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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