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Mitigating Risks Associated with AI

Posted December 12, 2019 in Business Technology & Digital Transformation Strategies
Mitigating Risks Associated with AI

Artificial intelligence (AI) and machine learning (ML) are technologies that can solve problems and do a world of good. But we must not forget that they are fallible and require human oversight. AI/ML developers must adhere to a strong code of ethics and employ ethicists to audit new applications. They must also ensure valid and reliable data testing and remain vigilant to the possibility that the technology may not work as intended.

About The Author
David Biros
David Biros is Associate Professor of Management Science and Information Systems and Fleming Chair of Information Technology Management at Oklahoma State University. A retired Lieutenant Colonel of the US Air Force, Dr. Biros’s last assignment was as Chief Information Assurance Officer for the AF-CIO. His research interests include deception detection, insider threat, information system trust, and ethics in information technology. Dr. Biros has… Read More
Madhav Sharma
Madhav Sharma is a PhD student, studying management science and information systems at Oklahoma State University. His research interests include diffusion of innovation, use and implication of artificial intelligence, machine learning, and the Internet of Things. Mr. Sharma earned a master’s degree in telecom management and an MBA, both from Oklahoma State University. He can be reached at madhav.sharma@okstate.edu.
Jacob Biros
Jacob Biros is a mechanical engineer and data analyst at Chura Data in Okinawa, Japan. He is an experienced sys­tem developer who has worked on a wide variety of artificial intelligence/machine learning–related projects ranging from natural language processing to dynamic pricing. Mr. Biros earned a bachelor of engineering degree from Oklahoma State University. He can be reached at jakebiros@gmail.com.
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