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Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
University of Innsbruck, DEU.
Free University of Bozen–Bolzano, ITA.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3818-4442
Fraunhofer Italia Research, ITA.
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2022 (English)In: Computer, ISSN 0018-9162, E-ISSN 1558-0814, Vol. 55, no 3, p. 52-63Article in journal (Refereed) Published
Abstract [en]

Collaborative artificial intelligence systems (CAISs) aim to work with humans in a shared space to achieve a common goal, but this can pose hazards that could harm human beings. We identify emerging problems in this context and report our vision of and progress toward a risk-driven assurance process for CAISs.

Place, publisher, year, edition, pages
IEEE Computer Society, 2022. Vol. 55, no 3, p. 52-63
Keywords [en]
Artificial intelligence systems, Human being, Shared spaces
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-22818DOI: 10.1109/MC.2021.3131990ISI: 000769986500008Scopus ID: 2-s2.0-85127599993OAI: oai:DiVA.org:bth-22818DiVA, id: diva2:1650492
Available from: 2022-04-07 Created: 2022-04-07 Last updated: 2022-04-19Bibliographically approved

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Felderer, Michael

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