Trustworthy AI: a cooperative approach
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Trustworthy AI : a cooperative approach. / Slosser, Jacob Livingston; Aasa, Birgit; Olsen, Henrik Palmer.
I: Technology and Regulation, Bind 2023, 2023, s. 58-68.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Trustworthy AI
T2 - a cooperative approach
AU - Slosser, Jacob Livingston
AU - Aasa, Birgit
AU - Olsen, Henrik Palmer
PY - 2023
Y1 - 2023
N2 - The EU has proposed harmonized rules on artificial intelligence (AI Act) and a directive on adapting non-contractual civil liability rules to AI (AI liability directive) due to increased demand for trustworthy AI. However, the concept of trustworthy AI is unspecific, covering various desired characteristics such as safety, transparency, and accountability. Trustworthiness requires a specific contextual setting that involves human interaction with AI technology, and simply involving humans in decision processes does not guarantee trustworthy outcomes. In this paper, the authors argue for an informed notion of what is meant for a system to be trustworthy and examine the concept of trust, highlighting its reliance on a specific relationship between humans that cannot be strictly transmuted into a relationship between humans and machines. They outline a trust-based model for a cooperative approach to AI and provide an example of what that might look like.
AB - The EU has proposed harmonized rules on artificial intelligence (AI Act) and a directive on adapting non-contractual civil liability rules to AI (AI liability directive) due to increased demand for trustworthy AI. However, the concept of trustworthy AI is unspecific, covering various desired characteristics such as safety, transparency, and accountability. Trustworthiness requires a specific contextual setting that involves human interaction with AI technology, and simply involving humans in decision processes does not guarantee trustworthy outcomes. In this paper, the authors argue for an informed notion of what is meant for a system to be trustworthy and examine the concept of trust, highlighting its reliance on a specific relationship between humans that cannot be strictly transmuted into a relationship between humans and machines. They outline a trust-based model for a cooperative approach to AI and provide an example of what that might look like.
U2 - 10.26116/techreg.2023.006
DO - 10.26116/techreg.2023.006
M3 - Journal article
VL - 2023
SP - 58
EP - 68
JO - Technology and Regulation
JF - Technology and Regulation
ER -
ID: 368340787