The Impact of the EU AI Act's Transparency Requirements on AI Innovation

Title data

Holst, Luca ; Mayer, Valentin ; Lämmermann, Luis ; Urbach, Nils ; Wendt, Domenik:
The Impact of the EU AI Act's Transparency Requirements on AI Innovation.
In: Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI). - Würzburg, Germany , 2024

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Abstract in another language

The increasing capabilities of Artificial Intelligence (AI) raise concerns about the risks associated with the technology. The European Union, therefore, proposed the Artificial Intelligence Act aiming to mitigate the risks of AI by fostering their safety and transparency. However, there is controversial debate about its impact on AI innovation. While the AI Act aims to provide legal certainty guiding innovation, the criticism refers to exaggerated bureaucratic burden such as transparency requirements impeding innovation. Based on a multivocal literature review, we examine the impact of the AI Act’s transparency requirements on patenting as a means for AI innovation. Our results indicate that the transparency requirements do not necessarily hinder the patentability of AI innovations. Instead, existing concerns primarily rely on uncertainties within key terms of the AI Act. Accordingly, we propose an improvement suggestion focusing on resolving existing uncertainties.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	AI Act; transparency; patenting; innovation
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	02 Sep 2024 11:27
Last Modified:	31 Oct 2024 12:08
URI:	https://eref.uni-bayreuth.de/id/eprint/90313