[HTML][HTML] SHIFTing artificial intelligence to be responsible in healthcare: A systematic review

H Siala, Y Wang - Social Science & Medicine, 2022 - Elsevier
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare
have emerged as AI becomes increasingly applicable and technologically advanced. The …

The ethics of AI in health care: a mapping review

J Morley, CCV Machado, C Burr, J Cowls, I Joshi… - Social Science & …, 2020 - Elsevier
This article presents a mapping review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …

Ethics as a service: a pragmatic operationalisation of AI ethics

J Morley, A Elhalal, F Garcia, L Kinsey, J Mökander… - Minds and …, 2021 - Springer
As the range of potential uses for Artificial Intelligence (AI), in particular machine learning
(ML), has increased, so has awareness of the associated ethical issues. This increased …

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research

D Kotecha, FW Asselbergs, S Achenbach… - The Lancet Digital …, 2022 - thelancet.com
Big data is important to new developments in global clinical science that aim to improve the
lives of patients. Technological advances have led to the regular use of structured electronic …

[HTML][HTML] Governing data and artificial intelligence for health care: developing an international understanding

J Morley, L Murphy, A Mishra, I Joshi… - JMIR formative …, 2022 - formative.jmir.org
Background Although advanced analytical techniques falling under the umbrella heading of
artificial intelligence (AI) may improve health care, the use of AI in health raises safety and …

The social licence for data-intensive health research: towards co-creation, public value and trust

SHA Muller, S Kalkman, GJMW van Thiel, M Mostert… - BMC Medical …, 2021 - Springer
Abstract Background The rise of Big Data-driven health research challenges the assumed
contribution of medical research to the public good, raising questions about whether the …

[HTML][HTML] In pursuit of socially-minded data-intensive innovation in banking: A focus group study of public expectations of digital innovation in banking

M Aitken, M Ng, D Horsfall, KPL Coopamootoo… - Technology in …, 2021 - Elsevier
While the field of data ethics is increasingly engaging with the complex socio-technical
nature of data practices and their impacts, in the private sector, data ethics continues to be …

Establishing a social licence for Financial Technology: Reflections on the role of the private sector in pursuing ethical data practices

M Aitken, E Toreini, P Carmichael… - Big Data & …, 2020 - journals.sagepub.com
Current attention directed at ethical dimensions of data and Artificial Intelligence have led to
increasing recognition of the need to secure and maintain public support for uses (and …

[HTML][HTML] Closing the UK care home data gap–methodological challenges and solutions

JK Burton, C Goodman, B Guthrie… - … Journal of Population …, 2020 - ncbi.nlm.nih.gov
UK care home residents are invisible in national datasets. The COVID-19 pandemic has
exposed data failings that have hindered service development and research for years …

Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research

MD McCradden, T Sarker, PA Paprica - BMJ open, 2020 - bmjopen.bmj.com
Objectives Given widespread interest in applying artificial intelligence (AI) to health data to
improve patient care and health system efficiency, there is a need to understand the …