Are We Preparing for a Good AI Society? A Bibliometric Review and Research Agenda
58 Pages Posted: 12 Jan 2021
Date Written: November 22, 2020
Artificial intelligence (AI) may be one of the most disruptive technologies of the 21st century, with the potential to transform every aspect of society. Preparing for a “good AI society” has become a hot topic, with growing public and scientific interest in the principles, policies, incentives, and ethical frameworks necessary for society to enjoy the benefits of AI while minimizing the risks associated with its use. However, despite the renewed interest in artificial intelligence, little is known of the direction in which AI scholarship is moving and whether the field is evolving towards the goal of building a “good AI society”. Based on a bibliometric analysis of 41,032 documents retrieved from the Web of Science database, this study describes the intellectual, social, and conceptual structure of AI research It provides 136 evidence-based research questions about how AI research can help understand the social changes brought about by AI and prepare for a “good AI society.” The research agenda is organized according to ten social impact domains identified from the literature, including crisis response, economic empowerment, educational challenges, environmental challenges, equality and inclusion, health and hunger, information verification and validation, infrastructure management, public and social sector management, security, and justice.
Keywords: Artificial intelligence, bibliometrics, knowledge structure, social innovation, social change
JEL Classification: M15, O33, O35
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