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September 3, 2022
Journal Article
Title

The why and how of trustworthy AI

Title Supplement
An approach for systematic quality assurance when working with ML components
Other Title
Vertrauenswürdige KI - Warum und Wie? Ein Ansatz zur systematischen Qualitätssicherung beim Einsatz von ML Komponenten
Abstract
Artificial intelligence is increasingly penetrating industrial applications as well as areas that affect our daily lives. As a consequence, there is a need for criteria to validate whether the quality of AI applications is sufficient for their intended use. Both in the academic community and societal debate, an agreement has emerged under the term “trustworthiness” as the set of essential quality requirements that should be placed on an AI application. At the same time, the question of how these quality requirements can be operationalized is to a large extent still open. In this paper, we consider trustworthy AI from two perspectives: the product and organizational perspective. For the former, we present an AI-specific risk analysis and outline how verifiable arguments for the trustworthiness of an AI application can be developed. For the second perspective, we explore how an AI management system can be employed to assure the trustworthiness of an organization with respect to its handling of AI. Finally, we argue that in order to achieve AI trustworthiness, coordinated measures from both product and organizational perspectives are required.
Author(s)
Schmitz, Anna  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Akila, Maram  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Hecker, Dirk  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Poretschkin, Maximilian  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Wrobel, Stefan  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Journal
Automatisierungstechnik : AT  
Project(s)
ZERTIFIZIERTE KI
Funder
Ministerium für Wirtschaft, Industrie, Klimaschutz und Energie des Landes Nordrhein-Westfalen
Open Access
File(s)
Download (730.39 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1515/auto-2022-0012
10.24406/h-425150
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • trustworthy AI

  • AI quality assurance

  • AI management systems

  • AI testing and validation

  • Vertrauenswürdige KI

  • KI Qualitätssicherung

  • KI Management Systeme

  • KI Testen und Validierung

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