Sergei Kamolov, Alexander Kriebitz, Polina Eliseeva, Nikita Aleksandrov
Public Governance Department, Moscow State Institute of International Relations, University of the Ministry for Foreign Affairs of Russia, 76 Vernadskogo Ave, Moscow, 119454 Russia.
Peter Löscher Chair of Business Ethics, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany.
AI Ethics. 2022;2(1):145-156. doi: 10.1007/s43681-021-00098-5. Epub 2021 Oct 8.
The discourse on the ethics of artificial intelligence (AI) has generated a plethora of different conventions, principles and guidelines outlining an ethical perspective on the use and research of AI. However, when it comes to breaking down general implications to specific use cases, existent frameworks have been remaining vague. The following paper aims to fill this gap by examining the ethical implications of the use of information analytical systems through a management approach for filtering the content in social media and preventing information thrusts with negative consequences for human beings and public administration. The ethical dimensions of AI technologies are revealed through deduction of general challenges of digital governance to applied level management technics.
关于人工智能伦理的讨论已经产生了大量不同的公约、原则和指导方针，勾勒出了关于人工智能使用和研究的伦理视角。然而，在将一般含义细化到具体用例时，现有的框架一直含糊不清。以下论文旨在填补这一空白，通过一种管理方法来审视信息分析系统使用的伦理影响，该方法用于筛选社交媒体中的内容，并防止对人类和公共管理产生负面后果的信息冲击。人工智能技术的伦理维度通过将数字治理的一般挑战推导到应用层面的管理技术而得以揭示。
