Logo des Repositoriums
 
Workshopbeitrag

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

Vorschaubild nicht verfügbar

Volltext URI

Dokumententyp

Text/Workshop Paper

Zusatzinformation

Datum

2021

Autor:innen

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

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 Wartentest can ensure that ML systems operate in the interest of the public.

Beschreibung

Heuer, Hendrik (2021): Audit, Don’t Explain – Recommendations Based on a Socio-Technical Understanding of ML-Based Systems. Mensch und Computer 2021 - Workshopband. DOI: 10.18420/muc2021-mci-ws02-232. Bonn: Gesellschaft für Informatik e.V.. MCI-WS02: UCAI 2021: Workshop on User-Centered Artificial Intelligence. Ingolstadt. 5.-8. September 2021

Zitierform

Tags