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Collaborative Artif...
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks
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- Adigun, Jubril Gbolahan (author)
- University of Innsbruck, DEU
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- Camilli, Matteo (author)
- Free University of Bozen–Bolzano, ITA
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- Felderer, Michael, 1978- (author)
- Blekinge Tekniska Högskola,Institutionen för programvaruteknik
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- Giusti, Andrea (author)
- Fraunhofer Italia Research, ITA
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- Matt, Dominik T. (author)
- Free University of Bozen–Bolzano, ITA
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- Perini, Anna (author)
- University of Trento, ITA
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- Russo, Barbara (author)
- Free University of Bozen–Bolzano, ITA
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- Susi, Angelo (author)
- Fondazione Bruno Kessler, ITA
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(creator_code:org_t)
- IEEE Computer Society, 2022
- 2022
- English.
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In: Computer. - : IEEE Computer Society. - 0018-9162 .- 1558-0814. ; 55:3, s. 52-63
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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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