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FUTURE AI ethics consensus criteria

Multi-Stakeholder AI Ethics in Radiology

Multi-Stakeholder AI Ethics in Radiology

Implications for integrated technology and workplace design
Valentin Langholf ORCID Icon, Alexander Ranft, Lena Will, Robin Denz ORCID Icon, Johannes Schwarz ORCID Icon, Majd Syoufi, Pavlos Rath-Manakidis, Marc Kämmerer, Marcus Kremers, Axel Mosig ORCID Icon, Uta Wilkens ORCID Icon, Jörg Wellmer ORCID Icon
AI assistance can be seen as a welcome aid in radiology, a highly complex environment characterized by round-the-clock time pressure and quality expectations. However, it must meet high ethical standards from the perspective of both users and patients. It is a challenge to incorporate this human-centered approach into the development and introduction of AI applications.
Industry 4.0 Science | Volume 42 | Edition 1 | Pages 136-143 | DOI 10.30844/I4SE.26.1.128
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  • I4S+
  • Industry 4.0
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  • Artificial Intelligence
  • Functions
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