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

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. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models.