certAInty – A Certification Scheme for AI systems
Auf einen Blick
- Projektleiter/in : Dr. Ricardo Chavarriaga
- Co-Projektleiter/in : Dr. Arman Iranfar, Dr. Joanna Weng
- Projektteam : Amin Amini, Yann Billeter, Stefan Brunner, Dr. Philipp Denzel, Oliver Forster, Carmen Frischknecht-Gruber, Paul-Philipp Luley, Dr. Monika Ulrike Reif, Marco Repetto, Dr. Frank-Peter Schilling, Prof. Dr. Thilo Stadelmann, Wolfgang Stefani
- Projektvolumen : CHF 753'657
- Projektstatus : laufend
- Drittmittelgeber : Innosuisse (Innovationsprojekt / Projekt Nr. 101.650 IP-ICT)
- Projektpartner : CertX
- Kontaktperson : Ricardo Chavarriaga
Beschreibung
Certification of AI Systems by an accredited body increases trust, accelerates adoption and enables their use for safety-critical applications. We develop a Certification Scheme comprising specific requirements, criteria, measures, and technical methods for assessing Machine Learning enabled Systems.
Publikationen
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Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter; Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna,
2024.
MLOps as enabler of trustworthy AI [Paper].
In:
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-30443
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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,
2024.
Towards the certification of AI-based systems [Paper].
In:
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-30439
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Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Amini, Amin; Repetto, Marco; Iranfar, Arman; Weng, Joanna; Chavarriaga, Ricardo,
2023.
A framework for assessing and certifying explainability of health-oriented AI systems.
In:
Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.
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Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter,
2023.
certAInty : a certification scheme for AI systems (Innosuisse project) [Poster].
In:
Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-27261