SoTRAACE for smart security in ambient assisted living

Ferreira, Ana; Teles, Soraia; Vieira‐Marques, Pedro

doi:10.3233/ais-190531

Cited by 5 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The other 17 papers solely provide recommendations for addressing RI in the design and implementation of AI technologies. While four of them discuss technical approaches and methods to address principles such as trust and transparency in AI, these were classified as “solely recommendations” because they do not report the respective methods being actually applied in existing AI technologies ( Ferreira et al, 2019 ; Fong et al, 2012 ; Hoque et al, 2009 ; Vance et al, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

“…The respective papers discuss conceptual, technical, or methodological approaches to delegating some degree of responsibility to AI technologies themselves. For instance, three papers discuss technical approaches to enabling AI technologies to determine what information should be shown to different users at a given moment ( Chaaraoui et al, 2014 ; Ferreira et al, 2019 ; Yang et al, 2018 ). This is deemed important as it depends on the context of use and preferences of the individual older adult as to how much privacy-sensitive data can be made visible securely.…”

Section: Resultsmentioning

confidence: 99%

“…It is suggested that this particular approach is only applicable in care settings in which AI technologies are interacting with one user at a time and for users who are still able to make fundamental decisions regarding their own lives. Third, some papers discuss specific RI issues that require nuanced contextualization ( Chaaraoui et al, 2014 ; Ferreira et al, 2019 ; Fiske et al, 2019 ; Körtner, 2016 ; Nguyen-Truong & Fritz, 2018 ; Yang et al, 2018 ). For instance, Fiske et al (2019) argue that, depending on the available human resources in a care context, principally AI-driven care services are better than no care services at all.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Toward Responsible Artificial Intelligence in Long-Term Care: A Scoping Review on Practical Approaches

et al. 2021

View full text Add to dashboard Cite

Background and Objectives Artificial intelligence (AI) is widely positioned to become a key element of intelligent technologies used in the long-term care (LTC) for older adults. The increasing relevance and adoption of AI has encouraged debate over the societal and ethical implications of introducing and scaling AI. This scoping review investigates how the design and implementation of AI technologies in LTC is addressed responsibly: so called responsible innovation (RI). Research Design and Methods We conducted a systematic literature search in five electronic databases using concepts related to LTC, AI and RI. We then performed a descriptive and thematic analysis to map the key concepts, types of evidence and gaps in the literature. Results After reviewing 3,339 papers, 25 papers were identified that met our inclusion criteria. From this literature, we extracted three overarching themes: user-oriented AI innovation; framing AI as a solution to RI issues; and context-sensitivity. Our results provide an overview of measures taken and recommendations provided to address responsible AI innovation in LTC. Discussion and Implications The review underlines the importance of the context of use when addressing responsible AI innovation in LTC. However, limited empirical evidence actually details how responsible AI innovation is addressed in context. Therefore, we recommend expanding empirical studies on RI at the level of specific AI technologies and their local contexts of use. Also, we call for more specific frameworks for responsible AI innovation in LTC to flexibly guide researchers and innovators. Future frameworks should clearly distinguish between RI processes and outcomes.

show abstract