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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 ...

  • IEEE Computer Society,2022
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:bth-22818
  • https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22818URI
  • https://doi.org/10.1109/MC.2021.3131990DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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 ...)

  • Camilli, MatteoFree University of Bozen–Bolzano, ITA (author)
  • Felderer, Michael,1978-Blekinge Tekniska Högskola,Institutionen för programvaruteknik(Swepub:bth)mfd (author)
  • Giusti, AndreaFraunhofer Italia Research, ITA (author)
  • Matt, Dominik T.Free University of Bozen–Bolzano, ITA (author)
  • Perini, AnnaUniversity of Trento, ITA (author)
  • Russo, BarbaraFree University of Bozen–Bolzano, ITA (author)
  • Susi, AngeloFondazione Bruno Kessler, ITA (author)
  • University of Innsbruck, DEUFree University of Bozen–Bolzano, ITA (creator_code:org_t)

Related titles

  • In:Computer: IEEE Computer Society55:3, s. 52-630018-91621558-0814

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