1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
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dc.contributor.authorFrischknecht-Gruber, Carmen-
dc.contributor.authorReif, Monika Ulrike-
dc.contributor.authorSenn, Christoph-
dc.date.accessioned2022-12-09T09:21:04Z-
dc.date.available2022-12-09T09:21:04Z-
dc.date.issued2022-
dc.identifier.isbn978-981-18-5183-4de_CH
dc.identifier.urihttps://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26292-
dc.description.abstractIntelligent systems have found their way into our lives in almost every conceivable field. There is hardly any area in which the possibilities and applications of machine learning are not thought of. In safety-critical systems, there is an urgent need to examine how a model generates a prediction and whether that response can be trusted. Furthermore, ethics must be considered in the practical development of AI systems to ensure a safe and secure application. Despite these requirements, due to the nature of deep learning, we are confronted with a black box. This disparity needs to be addressed using interpretability and explainable approaches to minimize potential bias and at the same time increase transparency, fairness, justice and inclusion. In order to enhance trust in intelligent systems - accountability, responsibility and robustness must be ensured as well. Appropriate policies and standards need to be put in place to enforce this in practice. We are facing a global challenge here; standards must be set not only at national but also at international level, and a common understanding of how to deal with AI on ethical and legal levels must be found. We provide an overview of efforts that are being made at national and international level by governments and global organizations. We discuss current and upcoming challenges and risks posed by intelligent systems considering ethical guidelines and legal frameworks. In particular, we examine and compare the classification of risk levels and mitigation strategies. To conclude we show the latest state of technical feasibility and possible certification to ensure safe, transparent and robust AI systems and give an outlook on possible certification approaches for safe AI systems meeting the proposed governance frameworks.de_CH
dc.language.isoende_CH
dc.publisherResearch Publishingde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectArtificial intelligencede_CH
dc.subjectKünstliche Intelligende_CH
dc.subjectAI standardsde_CH
dc.subjectMachine learningde_CH
dc.subjectSafetyde_CH
dc.subjectDigitalisierungde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleGlobal efforts towards establishing safety directives for intelligent systems : reviewde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
zhaw.publisher.placeSingaporede_CH
zhaw.conference.details32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, 28 August - 1 September 2022de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end2427de_CH
zhaw.pages.start2420de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 32nd European Safety and Reliability Conferencede_CH
zhaw.webfeedIntelligent Information Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Frischknecht-Gruber, C., Reif, M. U., & Senn, C. (2022). Global efforts towards establishing safety directives for intelligent systems : review [Conference paper]. Proceedings of the 32nd European Safety and Reliability Conference, 2420–2427. https://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdf
Frischknecht-Gruber, C., Reif, M.U. and Senn, C. (2022) ‘Global efforts towards establishing safety directives for intelligent systems : review’, in Proceedings of the 32nd European Safety and Reliability Conference. Singapore: Research Publishing, pp. 2420–2427. Available at: https://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdf.
C. Frischknecht-Gruber, M. U. Reif, and C. Senn, “Global efforts towards establishing safety directives for intelligent systems : review,” in Proceedings of the 32nd European Safety and Reliability Conference, 2022, pp. 2420–2427. [Online]. Available: https://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdf
FRISCHKNECHT-GRUBER, Carmen, Monika Ulrike REIF und Christoph SENN, 2022. Global efforts towards establishing safety directives for intelligent systems : review. In: Proceedings of the 32nd European Safety and Reliability Conference [online]. Conference paper. Singapore: Research Publishing. 2022. S. 2420–2427. ISBN 978-981-18-5183-4. Verfügbar unter: https://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdf
Frischknecht-Gruber, Carmen, Monika Ulrike Reif, and Christoph Senn. 2022. “Global Efforts towards Establishing Safety Directives for Intelligent Systems : Review.” Conference paper. In Proceedings of the 32nd European Safety and Reliability Conference, 2420–27. Singapore: Research Publishing. https://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdf.
Frischknecht-Gruber, Carmen, et al. “Global Efforts towards Establishing Safety Directives for Intelligent Systems : Review.” Proceedings of the 32nd European Safety and Reliability Conference, Research Publishing, 2022, pp. 2420–27, https://rpsonline.com.sg/rps2prod/esrel22-epro/pdf/S11-11-472.pdf.


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