<div class="csl-bib-body">
<div class="csl-entry">Ballester, I., & Kampel, M. (2024). Ethical Impact Identification of a Dementia Behaviour Monitoring System. In <i>2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)</i> (pp. 1–5). https://doi.org/10.1109/FG59268.2024.10581932</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/204480
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dc.description.abstract
The identification of ethical impacts is the first phase of Ethical Impact Assessments, which are used to evaluate the ethical implications of new technologies. Using a structured methodology, this paper explores the identification of ethical impacts of a video-based tool for monitoring dementia-related behaviours. By reflecting on autonomy, dignity, non-maleficence, beneficence, justice and privacy, our work contributes to a broader understanding of the ethical landscape surrounding the use of Artificial Intelligence (AI) and computer vision in healthcare. Our contribution goes beyond the specific aspects of this system as we address consent, privacy and autonomy, factors that are relevant to any technology for people with dementia. We call for the integration of ethical considerations into the design and implementation of AI technologies, ensuring that innovations not only advance clinical care, but also respect fundamental ethical principles.
en
dc.description.sponsorship
European Commission
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dc.language.iso
en
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dc.subject
Dementia
en
dc.subject
Behavioural and Psychological Symptoms of Dementia
en
dc.subject
Ethical Impact Assessments
en
dc.title
Ethical Impact Identification of a Dementia Behaviour Monitoring System
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
9798350394948
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dc.description.startpage
1
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dc.description.endpage
5
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dc.relation.grantno
861091
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
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tuw.peerreviewed
true
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tuw.project.title
Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-01 - Forschungsbereich Computer Vision
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tuw.publisher.doi
10.1109/FG59268.2024.10581932
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dc.description.numberOfPages
5
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tuw.author.orcid
0000-0002-0219-9063
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tuw.author.orcid
0000-0002-5217-2854
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tuw.event.name
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) - PrivAAL 2nd GoodBrother workshop on privacy-aware and acceptable video-based assistive technologies
en
tuw.event.startdate
27-05-2024
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tuw.event.enddate
31-05-2024
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Istanbul
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tuw.event.country
TR
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tuw.event.presenter
Ballester, Irene
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
90
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wb.sciencebranch.value
10
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
restricted
-
item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.orcid
0000-0002-0219-9063
-
crisitem.author.orcid
0000-0002-5217-2854
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology