A Bibliometric Review Of Academic Collaboration In The Governance, Risk And Compliance Of Artificial Intelligence

Abstract

As Artificial Intelligence becomes increasingly pervasive in its application, research efforts have shifted from the discourse on ethical principles to the mechanism of implementation that would eventually bring benefits to the world’s population while minimizing its risks. The adoption of best practices in governance, risk management and compliance would not only promote these objectives but also foster greater adoption of the technology by nations of the world. As Artificial Intelligence models are dependent upon the data ingested and used by algorithms, the input from researchers of different nationalities has the potential to reduce bias, enhance interoperability, and facilitate the generation of accurate decisions. Moreover, formulation of universal legislations and standards that are applicable to all nations would spur compliance and acceptance of AI solutions by its potential users. Thus, this study aims to shed light on the level of international collaboration among academicians by analyzing the publications in the past decade. The results show that the major contributors in this domain are the USA, UK, and China. Also, most of the contributions are from selected academic institutions in those countries only. Hence, greater collaborations can be forged with notable researchers from these institutions by researchers and practitioners from other countries to ensure that the development and use of AI can benefit all mankind in our increasingly connected societies.