Before and beyond trust
Reliance in medical AI
Bibliographic Data
| ID | 21515102 |
|---|---|
| Authors | Charalampia Kerasidou (0000-0002-9794-8492, Lancaster University, corresponding author), Angeliki Kerasidou (0000-0001-9344-3297, University of Oxford), Monika Büscher (0000-0002-5581-1033, Lancaster University), Stephen Wilkinson (0000-0002-2073-1762, Lancaster University) |
| Year | 2022 |
| Volume | 48 |
| Issue | 11 |
| Pages | 852-856 |
| Publication date | 2022-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Medical Ethics (JOURNAL) |
| Journal identifiers | ISSN: 0306-6800 • E-ISSN: 1473-4257 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/medethics-2020-107095 |
| PMID | 34426519 |
| OpenAlex | W3195452547 |
| Language | EN |
| Citations received | 16 |
| References cited | 46 |
Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to address what is identified as a "public trust deficit". This paper argues that a focus on trust as the basis upon which a relationship between this new technology and the public is built is, at best, ineffective, at worst, inappropriate or even dangerous, as it diverts attention from what is actually needed to actively warrant trust. Instead of agonising about how to facilitate trust, a type of relationship which can leave those trusting vulnerable and exposed, we argue that efforts should be focused on the difficult and dynamic process of ensuring reliance underwritten by strong legal and regulatory frameworks. From there, trust could emerge but not merely as a means to an end. Instead, as something to work in practice towards; that is, the deserved result of an ongoing ethical relationship where there is the appropriate, enforceable and reliable regulatory infrastructure in place for problems, challenges and power asymmetries to be continuously accounted for and appropriately redressed
Business · Engineering ethics · Internet privacy · Political science · Public relations · Public trust · Warrant · Artificial Intelligence in Healthcare and Education · Computer Science · Engineering · Ethics and Social Impacts of AI · Ethics in Clinical Research · Artificial Intelligence
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Taking responsibility for the outcomes of autonomous technologies
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Autonomy and Trust in Bioethics
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Reducing and meta-analysing estimates from distributed lag non-linear models
Deciding to trust, coming to believe
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The global landscape of AI ethics guidelines
Trust, trustworthiness and sharing patient data for research
A Leap of Faith
Public uptake of science
Soft Ethics
From What to How
The political economy of digital data
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Owning Ethics
| Citations per year | 5.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |