Field reports in support of Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI - https://doi.org/10.1145/3686038.3686041

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Publication date
2024-09-18
Creators
McGarry, Glenn
Crabtree, Andy
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Description
An archive of three field reports in support of: Glenn Mcgarry, Andy Crabtree, Lachlan Urquhart, and Alan Chamberlain. 2024. Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI. In Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), September 16–18, 2024, Austin, TX, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3686038.3686041
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Subjects
  • Artificial intelligence -- Medical applications
  • Medical informatics
  • Computer systems -- Reliability
  • Medical Device Regulation, Machine Learning, Software as a Medical Device, Trustworthy Systems, Responsible Research and Innovation
  • Subjects Allied to Medicine::Medical technology
  • Computer Sciences::Information systems::Intelligent & expert systems
  • R Medicine::R Medicine (General)::R855 Medical technology. Biomedical engineering. Electronics
Divisions
  • University of Nottingham, UK Campus::Faculty of Science::School of Computer Science
Deposit date
2024-09-18
Data type
Field reports
Funders
  • Engineering & Physical Sciences Research Council
Grant number
  • EP/V026607/1
  • EP/T022493/1
Collection dates
  • 2021 - 2022
Coverage
  • UK
Data collection method
Open ended interview
Legal and ethical issues
Some data are subject to a NDA. Participants anonymised and commercially sensitive data redacted.
Resource languages
  • en
Copyright
  • University of Nottingham
Publisher
The University of Nottingham
contact researcher for access conditions
Except where otherwise noted, this item's license is described as contact researcher for access conditions