Designing an ML Auditing Criteria Catalog as Starting Point for the Development of a Framework
Markus Schwarz,
Ludwig Christian Hinske,
Ulrich Mansmann
et al.
Abstract:Background: Although AI algorithms and applications become more and popular in the healthcare sector, only few institutions have an operational AI strategy. Identifying the best suited processes for ML algorithm implementation and adoption is a big challenge. Also, raising human confidence in AI systems is elementary to building trustworthy, socially beneficial and responsible AI. A commonly agreed AI auditing framework that provides best practices and tools could help speeding up the adoption process. In this… Show more
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