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https://doi.org/10.21256/zhaw-30549| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Certification scheme for artificial intelligence based systems |
| Autor/-in: | Weng, Joanna Denzel, Philipp Reif, Monika Ulrike Schilling, Frank-Peter Billeter, Yann Frischknecht-Gruber, Carmen Brunner, Stefan Chavarriaga, Ricardo Repetto, Marco Iranfar, Arman |
| et. al: | No |
| DOI: | 10.21256/zhaw-30549 |
| Angaben zur Konferenz: | 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024 |
| Erscheinungsdatum: | Jun-2024 |
| Verlag / Hrsg. Institution: | ZHAW Zürcher Hochschule für Angewandte Wissenschaften |
| Sprache: | Englisch |
| Schlagwörter: | AI; Explainability; Trustworthiness; Safety |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
| Zusammenfassung: | Artificial Intelligence (AI) and machine learning (ML) algorithms are making an impact in an increasing number of industries. AI models differ from conventional software due to their probabilistic decision-making process, with a heavy reliance on training data quantity and quality. Ensuring the trustworthiness of AI-based systems (AIS), including dimensions such as reliability and transparency, is becoming increasingly vital due to their widespread adoption. As regulatory standards are put in place, it becomes essential to have practical guidelines for certification. In this paper, we present an ongoing effort to develop a validated Certification Scheme for AIS. This scheme encompasses distinct objectives, criteria, and corresponding measures, as well as specific metrics and technical methods which support the implementation of trustworthy AI. A critical aspect of this scheme is the establishment of a clear connection between the set of requirements and the validated ML algorithms and methods used to evaluate the compliance of AIS. We provide a tangible example of the workflow for the reliability dimension on a hypothetical real-life use case: employing the Yolo5 model for the detection of construction vehicles in a diverse image dataset of construction sites. This example demonstrates the step-by-step process of the Certification Scheme from establishing initial requirements to selecting and applying technical methods for two example objectives. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/30549 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Centre for Artificial Intelligence (CAI) Institut für Angewandte Mathematik und Physik (IAMP) |
| Publiziert im Rahmen des ZHAW-Projekts: | certAInty – A Certification Scheme for AI systems |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2024_Billeter-etal_Certification-scheme-for-AI-based-systems.pdf | 1.48 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Weng, J., Denzel, P., Reif, M. U., Schilling, F.-P., Billeter, Y., Frischknecht-Gruber, C., Brunner, S., Chavarriaga, R., Repetto, M., & Iranfar, A. (2024, June). Certification scheme for artificial intelligence based systems. 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024. https://doi.org/10.21256/zhaw-30549
Weng, J. et al. (2024) ‘Certification scheme for artificial intelligence based systems’, in 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-30549.
J. Weng et al., “Certification scheme for artificial intelligence based systems,” in 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024, Jun. 2024. doi: 10.21256/zhaw-30549.
WENG, Joanna, Philipp DENZEL, Monika Ulrike REIF, Frank-Peter SCHILLING, Yann BILLETER, Carmen FRISCHKNECHT-GRUBER, Stefan BRUNNER, Ricardo CHAVARRIAGA, Marco REPETTO und Arman IRANFAR, 2024. Certification scheme for artificial intelligence based systems. In: 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024. Conference paper. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Juni 2024
Weng, Joanna, Philipp Denzel, Monika Ulrike Reif, Frank-Peter Schilling, Yann Billeter, Carmen Frischknecht-Gruber, Stefan Brunner, Ricardo Chavarriaga, Marco Repetto, and Arman Iranfar. 2024. “Certification Scheme for Artificial Intelligence Based Systems.” Conference paper. In 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-30549.
Weng, Joanna, et al. “Certification Scheme for Artificial Intelligence Based Systems.” 34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2024, https://doi.org/10.21256/zhaw-30549.
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