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Compliance of agricultural AI systems – app-based legal verification throughout the development

  • Significant advances in artificial intelligence (AI) have been achieved; however, practical implementation in agriculture remains limited. Compliance with emerging regulations, such as the EU AI Act and GDPR, is now vital, even for non-critical AI systems. Developers need tools to assess legal compliance, which is complex, often requiring full legal advice. To address this issue, we are developing a support app that simplifies the legal aspects of AI system development, covering the entire lifecycle, from conception to distribution. The current app, which covers the key legal area of copyright and will soon include GDPR and the AI Act, aims to bridge the gap between AI research and agriculture. An evaluation of our app by experts from both the legal and the IT domains shows that the app assists the developers so that they make legally correct statements. Consequently, it promotes legal compliance and awareness among developers, contributing to the seamless integration of AI into agriculture. The need for compliant AI systems in various industries, including agriculture, will only increase as regulations evolve.

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Metadaten
Author:Niklas KruseORCiD, Paul WachterORCiD, Julius SchöningORCiD
Title (English):Compliance of agricultural AI systems – app-based legal verification throughout the development
URN:urn:nbn:de:bsz:959-opus-53726
URL:https://gil-net.de/wp-content/uploads/2024/02/GI_Proceedings_344-3.f-1.pdf#page=118
ISBN:978-3-88579-738-8
ISSN:1617-5468
Parent Title (English):Informatik in der Land-, Forst- und Ernährungswirtschaft - Fokus: Biodiversität fördern durch digitale Landwirtschaft
Publisher:Lecture Notes in Informatics (LNI), Gesellschaft für Informatik
Place of publication:Bonn
Editor:Christa Hoffmann, Anthony Stein, Eva Gallmann, Jörg Dörr, Christian Krupitzer, Helga Floto
Document Type:Conference Proceeding
Language:English
Year of Completion:2024
Creating Corporation:Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft e.V.
Release Date:2024/03/04
Tag:AI compliance; agriculture; decision support application; ethical AI; law
First Page:119
Last Page:130
Note:
44. GIL-Jahrestagung, 27.- 28. Februar 2024, Stuttgart-Hohenheim, Deutschland
Faculties:Fakultät IuI
DDC classes:300 Sozialwissenschaften / 340 Recht
000 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Review Status:Veröffentlichte Fassung/Verlagsversion
Licence (German):License LogoCreative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International