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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Towards the certification of AI-based systems
Autor/-in: Denzel, Philipp
Brunner, Stefan
Billeter, Yann
Forster, Oliver
Frischknecht-Gruber, Carmen
Reif, Monika Ulrike
Schilling, Frank-Peter
Weng, Joanna
Chavarriaga, Ricardo
Amini, Amin
Repetto, Marco
Iranfar, Arman
et. al: No
DOI: 10.21256/zhaw-30439
Angaben zur Konferenz: 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024
Erscheinungsdatum: 31-Mai-2024
Verlag / Hrsg. Institution: ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Sprache: Englisch
Schlagwörter: Artificial intelligence; Machine learning; Certification; Reliability; Transparency
Fachgebiet (DDC): 006: Spezielle Computerverfahren
Zusammenfassung: Certifying the trustworthiness of Artificial Intelligence (AI)-based systems based on dimensions including reliability and transparency is crucial given their increased uptake. Likewise, as regulatory requirements are established, actionable guidelines for certification will be useful for developers and certification bodies to ensure trustworthiness of AI. Here, we present an ongoing effort to develop a validated AI certification scheme which is a framework for assessing the trustworthiness of AI systems including specific objectives with their corresponding means of compliance (i.e. process, documentation or technical methods). Importantly, the scheme makes an explicit link between legal requirements and validated techniques for assessing the compliance of AI systems, resulting in the implementation of a workflow to support AI certification. We explain the rationale for developing the certification scheme and demonstrate the assessment of an example use case with a concrete workflow traversing from objectives to corresponding means, focused on reliability and transparency.
URI: https://digitalcollection.zhaw.ch/handle/11475/30439
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

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Denzel, P., Brunner, S., Billeter, Y., Forster, O., Frischknecht-Gruber, C., Reif, M. U., Schilling, F.-P., Weng, J., Chavarriaga, R., Amini, A., Repetto, M., & Iranfar, A. (2024, May 31). Towards the certification of AI-based systems. 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024. https://doi.org/10.21256/zhaw-30439
Denzel, P. et al. (2024) ‘Towards the certification of AI-based systems’, in 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-30439.
P. Denzel et al., “Towards the certification of AI-based systems,” in 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024, May 2024. doi: 10.21256/zhaw-30439.
DENZEL, Philipp, Stefan BRUNNER, Yann BILLETER, Oliver FORSTER, Carmen FRISCHKNECHT-GRUBER, Monika Ulrike REIF, Frank-Peter SCHILLING, Joanna WENG, Ricardo CHAVARRIAGA, Amin AMINI, Marco REPETTO und Arman IRANFAR, 2024. Towards the certification of AI-based systems. In: 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024. Conference paper. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. 31 Mai 2024
Denzel, Philipp, Stefan Brunner, Yann Billeter, Oliver Forster, Carmen Frischknecht-Gruber, Monika Ulrike Reif, Frank-Peter Schilling, et al. 2024. “Towards the Certification of AI-Based Systems.” Conference paper. In 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-30439.
Denzel, Philipp, et al. “Towards the Certification of AI-Based Systems.” 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2024, https://doi.org/10.21256/zhaw-30439.


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