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Artificial Intelligence – The Data Below





Five Key Characteristics of an  Effective Quality Assurance and Improvement Program (QAIP)

The use of Artificial Intelligence (AI) is growing rapidly and touches almost every industry in every corner of the world. This joint research report, powered by the Internal Audit Foundation and sponsored by The IIA’s Chicago Chapter, addresses the unique risks that AI applications pose to organizations. AI’s use of data differs in many ways from traditional IT applications, presenting unique challenges to assessing governance of the data.

The report discusses the implications of AI’s use of probability versus correctness when it comes to data. It also familiarizes practitioners with the major types of AI data designs and suggests interview questions that will help them more effectively discern whether the system controls supporting AI applications are adequate.


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