Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses

Findings from our ethical use-case analysis of two patient-facing AI-assisted skin cancer apps suggest inadequate incorporation of bioethical norms such as justice, responsibility and transparency into the development and deployment of both apps. Improved regulation should increase accountability. Ensuring ethics by design through integration between technology developers, dermatologists, ethicists and the public is urgently needed to prevent the potential benefits of AI-assisted skin cancer apps being overshadowed by potential ethical harms.

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Publication Details

Journal
British Journal of Dermatology
Published
2024-11-06
DOI
https://doi.org/10.1093/bjd/ljae434
Citations
8
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
2.26
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article

Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses

Eli Harriss, Simona Tiribelli, Rubeta Matin, Syed Fazal Hussein Shah et al.
8 citations
British Journal of Dermatology
Cutaneous Melanoma Detection and Management
2.26
article

Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses

Eli Harriss, Simona Tiribelli, Rubeta Matin, Syed Fazal Hussein Shah, Heather Draper, Daniel Arecco
article en
8 citations

Abstract

Findings from our ethical use-case analysis of two patient-facing AI-assisted skin cancer apps suggest inadequate incorporation of bioethical norms such as justice, responsibility and transparency into the development and deployment of both apps. Improved regulation should increase accountability. Ensuring ethics by design through integration between technology developers, dermatologists, ethicists and the public is urgently needed to prevent the potential benefits of AI-assisted skin cancer apps being overshadowed by potential ethical harms.

British Journal of DermatologyVol. 192(3)
John Radcliffe Hospital (GB), University of Warwick (GB), University of Oxford (GB), Oxford University Hospitals NHS Trust (GB), Harvard Global Health Institute (US), Tech Foundation (US), Bodle Technologies (United Kingdom) (GB), University of Macerata (IT)
Reduced inequalities
Openalex Percentile: Top 10%
Cutaneous Melanoma Detection and Management
2.26
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Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses — Eli Harriss, Simona Tiribelli, et al. · British Journal of Dermatology (2024) | TGRS Research Map | TGRS