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Trustworthy artificial intelligence
Electronic Markets ( IF 7.1 ) Pub Date : 2020-10-01 , DOI: 10.1007/s12525-020-00441-4
Scott Thiebes , Sebastian Lins , Ali Sunyaev

Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel ethical, legal, social, and technological challenges. Trustworthy AI (TAI) bases on the idea that trust builds the foundation of societies, economies, and sustainable development, and that individuals, organizations, and societies will therefore only ever be able to realize the full potential of AI, if trust can be established in its development, deployment, and use. With this article we aim to introduce the concept of TAI and its five foundational principles (1) beneficence, (2) non-maleficence, (3) autonomy, (4) justice, and (5) explicability. We further draw on these five principles to develop a data-driven research framework for TAI and demonstrate its utility by delineating fruitful avenues for future research, particularly with regard to the distributed ledger technology-based realization of TAI.



中文翻译:

值得信赖的人工智能

人工智能 (AI) 为个人福祉以及经济和社会的进步带来了许多机会,但也带来了各种新的伦理、法律、社会和技术挑战。可信人工智能 (TAI) 基于信任构建社会、经济和可持续发展基础的理念,因此,只有建立信任,个人、组织和社会才能充分发挥人工智能的潜力在其开发、部署和使用中。在本文中,我们旨在介绍 TAI 的概念及其五个基本原则(1)善行、(2)非恶意、(3)自治、(4)正义和(5)可解释性。

更新日期:2020-10-01
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