IEEE 7010: A New Standard for Assessing the Well-being Implications of
Artificial Intelligence
- URL: http://arxiv.org/abs/2005.06620v3
- Date: Thu, 17 Dec 2020 19:30:00 GMT
- Title: IEEE 7010: A New Standard for Assessing the Well-being Implications of
Artificial Intelligence
- Authors: Daniel S. Schiff, Aladdin Ayesh, Laura Musikanski, John C. Havens
- Abstract summary: Artificial intelligence (AI) enabled products and services are becoming a staple of everyday life.
Mixed impact of these autonomous and intelligent systems on human well-being has become a pressing issue.
This article introduces one of the first international standards focused on the social and ethical implications of AI.
- Score: 0.5735035463793008
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Artificial intelligence (AI) enabled products and services are becoming a
staple of everyday life. While governments and businesses are eager to enjoy
the benefits of AI innovations, the mixed impact of these autonomous and
intelligent systems on human well-being has become a pressing issue. This
article introduces one of the first international standards focused on the
social and ethical implications of AI: The Institute of Electrical and
Electronics Engineering (IEEE) Standard (Std) 7010-2020 Recommended Practice
for Assessing the Impact of Autonomous and Intelligent Systems on Human
Well-being. Incorporating well-being factors throughout the lifecycle of AI is
both challenging and urgent and IEEE 7010 provides key guidance for those who
design, deploy, and procure these technologies. We begin by articulating the
benefits of an approach for AI centered around well-being and the measurement
of well-being data. Next, we provide an overview of IEEE 7010, including its
key principles and how the standard relates to approaches and perspectives in
place in the AI community. Finally, we indicate where future efforts are
needed.
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