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Publikation

Taming the AI Monster: Monitoring of Individual Fairness for Effective Human Oversight

Kevin Baum; Biewer Sebastian; Hermanns Holger; Hetmank Sven; Langer Markus; Lauber-Rönsberg Anne; Sterz Sarah
In: Thomas Neele; Anton Wijs (Hrsg.). Model Checking Software - 30th International Symposium - Proceedings. International Symposium on Model Checking Software (SPIN-2024), April 8-9, Luxembourg City, Luxembourg, Pages 3-25, Lecture Notes in Computer Science (LNCS), Vol. 14624, Springer Nature, Switzerland, 10/2024.

Zusammenfassung

This invited paper reviews a framework to assist in mitigating societal risks that software can pose. This is to promote effective human oversight, which is a central requirement enforced by the European Union’s upcoming AI Act . The paper advertises fragments of an upcoming journal publication , and as such is itself low in genuine originality. Yet it offers a specific perspective on that original work. Extrapolating earlier work on software doping, we report on the combination of established techniques for runtime monitoring and for probabilistic falsification to arrive at a black-box analysis technique for identifying undesired effects of software. We describe its application to high-risk systems that evaluate humans in a possibly unfair or discriminating way. The approach can assist humans-in-the-loop to make better informed and more responsible decisions. Our technical contribution is complemented by juridically …