The ethical, legal and social implications of using artificial intelligence systems in breast cancer care

Simple item page
dc.contributor.authorCarter, S.M.
dc.contributor.authorRogers, W.
dc.contributor.authorWin, K.T.
dc.contributor.authorFrazer, H.
dc.contributor.authorRichards, B.
dc.contributor.authorHoussami, N.
dc.date.issued2020
dc.description.abstractBreast cancer care is a leading area for development of artificial intelligence (AI), with applications including screening and diagnosis, risk calculation, prognostication and clinical decision-support, management planning, and precision medicine. We review the ethical, legal and social implications of these developments. We consider the values encoded in algorithms, the need to evaluate outcomes, and issues of bias and transferability, data ownership, confidentiality and consent, and legal, moral and professional responsibility. We consider potential effects for patients, including on trust in healthcare, and provide some social science explanations for the apparent rush to implement AI solutions. We conclude by anticipating future directions for AI in breast cancer care. Stakeholders in healthcare AI should acknowledge that their enterprise is an ethical, legal and social challenge, not just a technical challenge. Taking these challenges seriously will require broad engagement, imposition of conditions on implementation, and pre-emptive systems of oversight to ensure that development does not run ahead of evaluation and deliberation. Once artificial intelligence becomes institutionalised, it may be difficult to reverse: a proactive role for government, regulators and professional groups will help ensure introduction in robust research contexts, and the development of a sound evidence base regarding real-world effectiveness. Detailed public discussion is required to consider what kind of AI is acceptable rather than simply accepting what is offered, thus optimising outcomes for health systems, professionals, society and those receiving care
dc.description.statementofresponsibilityStacy M. Carter, Wendy Rogers, Khin Than Win, Helen Frazer, Bernadette Richards, Nehmat Houssami
dc.identifier.citationBreast, 2020; 49:25-32
dc.identifier.doi10.1016/j.breast.2019.10.001
dc.identifier.issn0960-9776
dc.identifier.issn1532-3080
dc.identifier.orcidRichards, B. [0000-0001-6448-4954]
dc.identifier.urihttps://hdl.handle.net/2440/133261
dc.language.isoen
dc.publisherElsevier
dc.relation.grantNHMRC
dc.rights© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
dc.source.urihttps://doi.org/10.1016/j.breast.2019.10.001
dc.subjectBreast carcinoma; AI (Artificial Intelligence); Ethical Issues; Social values; Technology Assessment, Biomedical
dc.subject.meshHumans
dc.subject.meshBreast Neoplasms
dc.subject.meshPrognosis
dc.subject.meshRisk Assessment
dc.subject.meshArtificial Intelligence
dc.subject.meshDecision Support Systems, Clinical
dc.subject.meshTechnology Assessment, Biomedical
dc.subject.meshAustralia
dc.subject.meshFemale
dc.subject.meshEarly Detection of Cancer
dc.subject.meshPrecision Medicine
dc.titleThe ethical, legal and social implications of using artificial intelligence systems in breast cancer care
dc.typeJournal article
pubs.publication-statusPublished

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
hdl_133261.pdf
Size:
1.12 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections

Law publications