Governing Intelligent Automation

Posted June 23, 2020 in Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies Cutter Business Technology Journal
Daniel J. Power, Ciara Heavin, and Shashidhar Kaparthi argue that a better governance mechanism is necessary to minimize the dangers of rushing to adopt AI and automation without due consideration of the risks. They present a governance framework for intelligent automation that includes all key stakeholders and offer policy prescriptions and guidelines for successful intelligent automation.
About The Author
Daniel Power
Daniel J. Power is a Professor of Information Systems and Strategy at the College of Business Administration, University of Northern Iowa. He is also the Editor of DSSResources.COM. Dr. Power has published more than 50 refereed journal articles and book chapters. His articles have appeared in leading academic journals, including Decision Support Systems, Decision Sciences, and Journal of Decision Systems. Dr. Power has authored or coauthored six… Read More
Ciara Heavin
Ciara Heavin is a lecturer/researcher in the Department of Business Information Systems at Cork University Business School, University College Cork (UCC), Ireland. Her research focuses on opportunities for using information systems in the global healthcare ecosystem and in digital transformation. As Co-Director of the Health Information Systems Research Centre, Dr. Heavin has directed funded research in the investigation, development, and… Read More
Shashidhar Kaparthi
Shashidhar “Shashi” Kaparthi is an Associate Professor of Management Information Systems at the University of Northern Iowa. He specializes in decision support systems; Internet technologies; business data analytics; supply chain and operations management; IT strategy and innovation; and artificial intelligence, including neural network models and applications in management research. Dr. Kaparthi was the inaugural CIO at the University of… Read More
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