Managing AI Bias: Executive Perspectives

Date
2022-01-04
Authors
Abbu, Haroon
Mugge, Paul
Gudergan, Gerhard
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Abstract
Artificial intelligence (AI) applications are taking the world by storm. Yet increasingly, these solutions are coming under fire as being “biased”. This presentation describes the actions taken by three successful digital leaders to overcome this issue and ensure that the resulting decision information is fair and explainable. Their advice is part of a much larger study we have conducted to understand the actions “digitally mature” organizations take to separate themselves from “digitally developing” companies. The goal of our studies is to help digitally developing organizations―the great majority― catch up.
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Practitioner Research Insights: Applications of Science and Technology to Real-World Innovations, ai, bias, digital leadership, digital transformation, trust
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