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Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks

Adigun, Jubril Gbolahan (author)
University of Innsbruck, DEU
Camilli, Matteo (author)
Free University of Bozen–Bolzano, ITA
Felderer, Michael, 1978- (author)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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Giusti, Andrea (author)
Fraunhofer Italia Research, ITA
Matt, Dominik T. (author)
Free University of Bozen–Bolzano, ITA
Perini, Anna (author)
University of Trento, ITA
Russo, Barbara (author)
Free University of Bozen–Bolzano, ITA
Susi, Angelo (author)
Fondazione Bruno Kessler, ITA
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 (creator_code:org_t)
IEEE Computer Society, 2022
2022
English.
In: Computer. - : IEEE Computer Society. - 0018-9162 .- 1558-0814. ; 55:3, s. 52-63
  • Journal article (peer-reviewed)
Abstract Subject headings
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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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Artificial intelligence systems
Human being
Shared spaces

Publication and Content Type

ref (subject category)
art (subject category)

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