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Assessing the Viability of On-Device Language Models in Legally Controlled Measuring Instruments

  • The European Union's Artificial Intelligence Act represents a significant regulatory framework that governs the deployment of AI systems across various sectors, including critical infrastructure. A crucial challenge identified is the integration of AI in measuring instruments, especially utility meters used in critical infrastructures, as highlighted in the EU AI Act's Annex III. In legalThe European Union's Artificial Intelligence Act represents a significant regulatory framework that governs the deployment of AI systems across various sectors, including critical infrastructure. A crucial challenge identified is the integration of AI in measuring instruments, especially utility meters used in critical infrastructures, as highlighted in the EU AI Act's Annex III. In legal metrology, AI applications, especially language models, are primarily serverbased, requiring substantial resources and continuous connectivity. The integration of AI and specifically of language models into measuring instruments promises unique opportunities and challenges along their lifecycle, impacting manufacturers, notified bodies, market surveillance authorities, and consumers. This paper highlights the need for on-device language models that can perform real-time regulatory compliance checks, facilitate natural-language interactions, and generate legally admissible documentation. We also address the challenges of designing smaller, energy-efficient models and propose a system overview to enhance functionality in resourceconstrained environments.zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Art der Konferenzveröffentlichung:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/11820
Bibliografische Angaben
Titel (Englisch):Assessing the Viability of On-Device Language Models in Legally Controlled Measuring Instruments
Konferenzangaben:IMEKO TC8-TC11-TC24 Joint Conference (2025 : Turin, Italy)
Verfasserangaben:Mahbuba MoniStaff MemberGND, Daniel Peters, Florian Thiel, Axel SikoraStaff MemberORCiDGND
Erscheinungsjahr:2025
Urhebende Körperschaft:International Measurement Confederation
Seitenanzahl:6
Erste Seite:185
Letzte Seite:190
Titel des übergeordneten Werkes (Englisch):Conference Proceedings : IMEKO Joint Conference TC8-TC11-TC24
ISBN:978-92-990090-7-9
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Forschung:ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik
Sammlungen der Hochschule Offenburg:Bibliografie
Freies Schlagwort / Tag:AI; Measuring instruments; On-Device Language Models
Formale Angaben
Relevanz für "Jahresbericht über Forschungsleistungen":1-fach | Konferenzbeitrag
Open-Access-Status: Closed 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt