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算法世界中的关怀:构建人工智能算法以打击假新闻的设计者和开发者的伦理视角。

Caring in an Algorithmic World: Ethical Perspectives for Designers and Developers in Building AI Algorithms to Fight Fake News.

机构信息

The Interdisciplinary Program in Humanities, Tel Aviv University, Tel Aviv, Israel.

School of Multi-Disciplinary Studies, Holon Institute of Technology (HIT), Holon, Israel.

出版信息

Sci Eng Ethics. 2023 Aug 9;29(4):30. doi: 10.1007/s11948-023-00450-4.

Abstract

This article suggests several design principles intended to assist in the development of ethical algorithms exemplified by the task of fighting fake news. Although numerous algorithmic solutions have been proposed, fake news still remains a wicked socio-technical problem that begs not only engineering but also ethical considerations. We suggest employing insights from ethics of care while maintaining its speculative stance to ask how algorithms and design processes would be different if they generated care and fight fake news. After reviewing the major characteristics of ethics of care and the phases of care, we offer four algorithmic design principles. The first principle highlights the need to develop a strategy to deal with fake news on the part of the software designers. The second principle calls for the involvement of various stakeholders in the design processes in order to increase the chances of successfully fighting fake news. The third principle suggests allowing end-users to report on fake news. Finally, the last principle proposes keeping the end-user updated on the treatment in the suspected news items. Implementing these principles as care practices can render the developmental process more ethically oriented as well as improve the ability to fight fake news.

摘要

本文提出了几项设计原则,旨在通过打击假新闻的任务为伦理算法的开发提供帮助。尽管已经提出了许多算法解决方案,但假新闻仍然是一个棘手的社会技术问题,不仅需要工程学,还需要伦理学的考虑。我们建议在保持推测立场的同时,从关怀伦理中汲取见解,以探讨如果算法和设计过程能够产生关怀,那么它们将如何不同。在回顾关怀伦理的主要特征和关怀阶段之后,我们提出了四个算法设计原则。第一个原则强调软件开发人员需要制定应对假新闻的策略。第二个原则要求各种利益相关者参与设计过程,以增加成功打击假新闻的机会。第三个原则建议允许最终用户报告假新闻。最后,最后一个原则建议让最终用户了解可疑新闻项目的处理情况。将这些原则作为关怀实践来实施,可以使开发过程更具伦理导向,并提高打击假新闻的能力。

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