On the promotion of safe and socially beneficial artificial intelligence

This paper discusses means for promoting artificial intelligence (AI) that is designed to be safe and beneficial for society (or simply “beneficial AI”). The promotion of beneficial AI is a social challenge because it seeks to motivate AI developers to choose beneficial AI designs. Currently, the AI...

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Bibliographic Details
Published in:AI & society 2017-11, Vol.32 (4), p.543-551
Main Author: Baum, Seth D.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Science
Control
Engineering Economics
Incentives
Logistics
Marketing
Mechatronics
Methodology of the Social Sciences
Open Forum
Organization
Performing Arts
Promotion
Psychology
Researchers
Robotics
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Summary:This paper discusses means for promoting artificial intelligence (AI) that is designed to be safe and beneficial for society (or simply “beneficial AI”). The promotion of beneficial AI is a social challenge because it seeks to motivate AI developers to choose beneficial AI designs. Currently, the AI field is focused mainly on building AIs that are more capable, with little regard to social impacts. Two types of measures are available for encouraging the AI field to shift more toward building beneficial AI. Extrinsic measures impose constraints or incentives on AI researchers to induce them to pursue beneficial AI even if they do not want to. Intrinsic measures encourage AI researchers to want to pursue beneficial AI. Prior research focuses on extrinsic measures, but intrinsic measures are at least as important. Indeed, intrinsic factors can determine the success of extrinsic measures. Efforts to promote beneficial AI must consider intrinsic factors by studying the social psychology of AI research communities.
ISSN:0951-5666
1435-5655
DOI:10.1007/s00146-016-0677-0