Ethical AI in the re-ablement of older people: Opportunities and challenges

Lanne, Marinka; Leikas, Jaana

doi:10.4017/gt.2021.20.2.26-473.11

Cited by 5 publications

(8 citation statements)

References 11 publications

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“…This was supported by several studies highlighting the need for a multidisciplinary approach to the issue of transparency and ethics more widely (specifically, ethics training or integrating ethicists) [44,47,59,69,75,100,101]. In terms of barriers, AI development experts identified a lack of transparency to be seen as a limit to positive relationships between vulnerable patient groups (such as patients of older generations) and clinicians [107].…”

Section: Transparencymentioning

confidence: 87%

“…Briefly, the most frequently addressed areas were as follows: the general use of AI for healthcare (36 studies) , the use of AI in decision support systems (eight studies) [78][79][80][81][82][83][84][85][86][87][88][89][90][91][92][93][94], big data (four studies) [95][96][97][98], robotics (seven studies) [99][100][101][102][103][104][105] and adaptive AI (one study) [106]. The remaining studies addressed the following: rehabilitation [107], medical education [108], monitoring technology for the elderly [109], mental health [110], radiation technology [111], chatbots [112], health apps [113] and healthcare in low-and middleincome countries [114].…”

Section: Study Characteristicsmentioning

confidence: 99%

“…The most frequently addressed ethical theme was transparency (n = 40) [44,46,47,49,[55][56][57][58][59][60][61][62]64,66,69,70,75,76,[78][79][80][81][82]85,86,[88][89][90]92,[94][95][96][99][100][101]107,110,111,113,114], concerning a wide range of medical contexts but focusing mainly in the area of clinical decision support. While the majority of studies reported a narrative evaluation of ethical issues, seven qualitative studies employed surveys or focus groups that identified transparency as an ethical priority by either healthcare professionals [44,78], experts in AI implementation [107], a combination of AI experts and citizens [65] or a combination of designers, clinician-users, administrators and patients, [69,70,…”

Section: Transparencymentioning

confidence: 99%

“…More broadly, several studies noted that the public should have access to transparent information regarding the use of AI in healthcare [61,66,69,76], with some pinpointing that governments should play a role in raising awareness, especially of prospective vulnerable populations, such that information provided regarding AI-based devices can be well understood [96]. Further, to facilitate transparency, AI standardised ethical frameworks and clear regulations are required, with some studies calling to enforce their use with legislation [46,56,57,75,82,94,107,110,114].…”

Section: Transparencymentioning

confidence: 99%

“…Trust was discussed as a theme in 34 of the included studies [42,50,52,54,[58][59][60][61][62][63][66][67][68]72,73,76,77,[79][80][81][82]86,87,89,90,93,94,101,102,105,107,110,112,113], with most focusing on clinical decision support systems, chatbots and robots. Most of these studies were articles or qualitative analyses.…”

Section: Trustmentioning

confidence: 99%

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Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices

Maccaro,

Stokes,

Statham

et al. 2024

JPM

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The use of AI in healthcare has sparked much debate among philosophers, ethicists, regulators and policymakers who raised concerns about the implications of such technologies. The presented scoping review captures the progression of the ethical and legal debate and the proposed ethical frameworks available concerning the use of AI-based medical technologies, capturing key themes across a wide range of medical contexts. The ethical dimensions are synthesised in order to produce a coherent ethical framework for AI-based medical technologies, highlighting how transparency, accountability, confidentiality, autonomy, trust and fairness are the top six recurrent ethical issues. The literature also highlighted how it is essential to increase ethical awareness through interdisciplinary research, such that researchers, AI developers and regulators have the necessary education/competence or networks and tools to ensure proper consideration of ethical matters in the conception and design of new AI technologies and their norms. Interdisciplinarity throughout research, regulation and implementation will help ensure AI-based medical devices are ethical, clinically effective and safe. Achieving these goals will facilitate successful translation of AI into healthcare systems, which currently is lagging behind other sectors, to ensure timely achievement of health benefits to patients and the public.

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Section: Transparencymentioning

confidence: 87%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Transparencymentioning

confidence: 99%

Section: Transparencymentioning

confidence: 99%

Section: Trustmentioning

confidence: 99%

See 3 more Smart Citations

Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices

Maccaro,

Stokes,

Statham

et al. 2024

JPM

View full text Add to dashboard Cite

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Moral Values in Medical AI: A Scoping Review

Victor,

Barbu,

Bélisle-Pipon

2024

Preprint

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This article presents a scoping review of the relevant research discussing the ethics of medical artificial intelligence (AI). Relevant moral and human values can inform the design of ethical medical AI. The value sensitive design (VSD) framework offers a method by which to do this. But much conceptual work must be done in order to apply the VSD framework to medical AI. The goal of this review is to survey existing literature discussing moral and human values (such as responsibility, transparency, and respect for autonomy) in medical AI development. Ultimately, the objective of the review is to advance the VSD methodology for medical AI technologies, in which relevant moral values will inform technology design. Papers were considered eligible if they fulfilled three criteria: (1) provided a discussion of one or multiple moral, ethical, or human values (2) regarding AI or machine learning in a (3) medical, clinical, or health context. We conducted our search on five databases: OVID Embase, OVID Medline, IEEE, Web of Science, and Scopus. After performing our search, we screened title and abstract, then the full text of each paper for relevance using the Covidence platform. After the final sample was determined, we extracted relevant information by coding the papers using NVivo. We found nearly 100 moral values discussed regarding medical AI. In this search we were able to find not only which values are most discussed and how, but also specific, unique, and emerging moral values in the medical AI domain.

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Publication Trends in Reablement – A Scoping Review

Guadaña,

Oyeneyin,

Moe

et al. 2023

JMDH

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Background Reablement is a holistic and multidisciplinary intervention that can facilitate achievement of service users’ goals related to their independence in everyday activities. Reablement has been the subject of increasing scientific activity in recent years. Currently, no review has provided a broad overview of the extent and breadth of international publications in reablement. Objective The objectives were 1) to map the volume of reablement publications, how the publications had increased over time, and their geographical distribution, 2) to identify the publication types and designs, 3) to identify publication trends, and 4) to identify knowledge gaps in the current peer-reviewed literature. Methods The scoping review approach designed by Arksey and O’Malley was used to identify peer-reviewed articles on reablement. Information was obtained on scientific activity on reablement over a period of more than two decades from five electronic databases and without language restrictions. Data was extracted from the eligible articles and both descriptive analysis and thematic analysis of the data was performed. Results A total of 198 articles published from 1999 to August 2022 from 14 countries were identified. There is a continuous interest in the field from countries where reablement has been implemented. An international and historical overview among countries with peer-reviewed publications on reablement is presented, which also partly reflects the countries that have implemented reablement. Most of the research derives from Western countries, in particular from Norway. Varied approaches to publications in reablement were noted with the majority being empirical and quantitative in nature. Conclusion The scoping review confirms the continued expansion of the breadth of reablement-focused publications in terms of originating countries, target populations, and research designs. In addition, the scoping review contributes to the knowledge base regarding reablement’s research front.

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Ethical AI in the re-ablement of older people: Opportunities and challenges

Cited by 5 publications

References 11 publications

Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices

Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices

Moral Values in Medical AI: A Scoping Review

Publication Trends in Reablement – A Scoping Review

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