Search: onr:"swepub:oai:DiVA.org:bth-22818" >
Collaborative Artif...
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Adigun, Jubril GbolahanUniversity of Innsbruck, DEU
(author)
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
- Article/chapterEnglish2022
Publisher, publication year, extent ...
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IEEE Computer Society,2022
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:bth-22818
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22818URI
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https://doi.org/10.1109/MC.2021.3131990DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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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.
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Added entries (persons, corporate bodies, meetings, titles ...)
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Camilli, MatteoFree University of Bozen–Bolzano, ITA
(author)
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Felderer, Michael,1978-Blekinge Tekniska Högskola,Institutionen för programvaruteknik(Swepub:bth)mfd
(author)
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Giusti, AndreaFraunhofer Italia Research, ITA
(author)
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Matt, Dominik T.Free University of Bozen–Bolzano, ITA
(author)
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Perini, AnnaUniversity of Trento, ITA
(author)
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Russo, BarbaraFree University of Bozen–Bolzano, ITA
(author)
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Susi, AngeloFondazione Bruno Kessler, ITA
(author)
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University of Innsbruck, DEUFree University of Bozen–Bolzano, ITA
(creator_code:org_t)
Related titles
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In:Computer: IEEE Computer Society55:3, s. 52-630018-91621558-0814
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