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arXiv · 2107.09917

Audit, Don't Explain -- Recommendations Based on a Socio-Technical Understanding of ML-Based Systems

Hendrik Heuer
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Abstract

In this position paper, I provide a socio-technical perspective on machine learning-based systems. I also explain why systematic audits may be preferable to explainable AI systems. I make concrete recommendations for how institutions governed by public law akin to the German TÜV and Stiftung Warentest can ensure that ML systems operate in the interest of the public.

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Hendrik Heuer. 2021-07-21. Audit, Don't Explain -- Recommendations Based on a Socio-Technical Understanding of ML-Based Systems. https://doi.org/10.18420/muc2021-mci-ws02-232

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