Ballester, I., & Kampel, M. (2024). Ethical Impact Identification of a Dementia Behaviour Monitoring System. In 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (pp. 1–5). https://doi.org/10.1109/FG59268.2024.10581932
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)
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ISBN:
9798350394948
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Date (published):
2024
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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
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Event date:
27-May-2024 - 31-May-2024
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Event place:
Istanbul, Turkey
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Number of Pages:
5
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Peer reviewed:
Yes
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Keywords:
Dementia; Behavioural and Psychological Symptoms of Dementia; Ethical Impact Assessments
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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.
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Project title:
Privacy-Aware and Acceptable Video-Based Technologies and Services for Active and Assisted Living: 861091 (European Commission)
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Research Areas:
Visual Computing and Human-Centered Technology: 100%
