Ethics and Artificial Intelligence in the Interdisciplinary Collaborations of Smart Care
Bibliographic Data
| ID | 5337013 |
|---|---|
| Authors | C Hine (0000-0002-1172-0252, University of Surrey, corresponding author), Payam Barnaghi (0000-0001-8591-9638, Imperial College London) |
| Year | 2024 |
| Publication date | 2024-12-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science Technology & Human Values (JOURNAL) |
| Journal identifiers | ISSN: 0162-2439 • E-ISSN: 1552-8251 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/01622439241302519 |
| OpenAlex | W4405379463 |
| Language | EN |
| Citations received | 1 |
| References cited | 32 |
This article explores how the work of ethical assurance is understood by those involved in artificial intelligence development and deployment, and uses the findings to consider how ethical reflection might be better supported. The article presents a case study of a multi-disciplinary project developing a care support system that used machine learning in remote monitoring of people living at home with dementia. In this project engineering and clinical perspectives come together through a fractionated interdisciplinary trading zone to address goals such as remote detection of urinary infections. Ethics is done, according to project participants, in formal ethical review processes and through a shared understanding of common goals, but also in discipline-specific practices that sit outside of the trading zone. A key role is played by team members who translate concerns between discipline-based research groups and who act as proxies for the ultimate users of the systems not directly present within the trading zone. These insights into cross-disciplinary ethical work in relation to smart care lead us to recommend that infrastructural support for imaginative and transparent ethical reflection needs to be woven through the collaborations that create artificial intelligence, both across disciplines and throughout the lifetime of a project
Engineering ethics · Environmental ethics · Political science · Sociology · Digital Transformation in Industry · Engineering · Ethics and Social Impacts of AI · Information Systems Theories and Implementation · Philosophy
Principles alone cannot guarantee ethical AI
The Role and Limits of Principles in AI Ethics
Reframing AI Discourse
Business Ethics as Practice
Better, Nicer, Clearer, Fairer
Closing the AI accountability gap
Steps Toward an Ecology of Infrastructure
Techniques for overcoming difficult interdisciplinary dialogue in expert panels
Attributions of ethical responsibility by Artificial Intelligence practitioners
Explaining the Principles to Practices Gap in AI
Decolonial AI
The ethics of AI in health care
Coproduction, Ethics and Artificial Intelligence
Moral Imagination, Trading Zones, and the Role of the Ethicist in Nanotechnology
From What to How
Institutional Ecology, `Translations' and Boundary Objects
Ethics' as a discursive resource for identity work
Naturalistic inquiry
Studying Infrastructuring Ethnographically
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |