Abstract
Research on responsible AI has boomed over the past few years. Yet, an understanding of the responsible AI research across primary disciplines is missing in the literature. Through a review of 1224 studies across 7 databases, a total of 177 studies were included for a review of responsible AI across the emerging areas of Business, Engineering, Governance, Health, Science, and Social Science. Using grounded theory and axial and open coding, we extracted and summarized areas, principles, research designs, challenges, findings, and trends in responsible AI research across the emerging areas. The contribution of this work lies in presenting the caveats and future considerations of research on responsible AI holistically and across primary disciplines in higher education.
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References
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