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Towards the Operationalization of Trustworthy AI: Integrating the EU Assessment List into a Procedure Model for the Development and Operation of AI-Systems

Henrik Kortum-Landwehr; Jonas Rebstadt; Tula Böschen; Pascal Meier; Oliver Thomas
In: Daniel Demmler; Daniel Krupka; Hannes Federrath (Hrsg.). Lecture Notes in Informatics (LNI) - Proceedings. GI-Informatiktage (Informatik-2022), September 26-30, Hamburg, Germany, Köllen Druck+Verlag GmbH, Bonn, 2022.


Artificial intelligence (AI) is increasingly permeating all areas of life and not only changing coexistence in society for the better. Unfortunately, there is an increasing number of examples where AI systems show problematic behavior, such as discrimination or insufficient accuracy, missing data privacy or transparency. To counteract this trend, an EU initiative has drafted a legal framework and recommendations on how AI can be more trustworthy and comply with people's fundamental rights. However, fundamental rights are currently not reflected in procedure models for the development and operation of AI systems. Our work contributes to closing this gap so that companies, especially SMEs with small IT departments and limited financial resources, are supported in the development process. Within the framework of a structured literature review, we derive a procedure model for the development and operation of AI systems and subsequently integrate concrete recommendations for achieving trustworthiness.

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