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 T\"UV and Stiftung Warentest can ensure that ML systems operate in the interest of the public.
@article{arxiv.2107.09917,
title = {Audit, Don't Explain -- Recommendations Based on a Socio-Technical Understanding of ML-Based Systems},
author = {Hendrik Heuer},
journal= {arXiv preprint arXiv:2107.09917},
year = {2021}
}
Comments
This paper will be presented at the Workshop on User-Centered Artificial Intelligence (UCAI '21) at Mensch und Computer 2021