Towards AI-governance in psychosocial care: A systematic literature review analysis
Wang, Xiaowen; Oussalah, Mourad; Niemilä, Mika; Ristikari, Tiina; Virtanen, Petri (2023-10-21)
Wang, Xiaowen
Oussalah, Mourad
Niemilä, Mika
Ristikari, Tiina
Virtanen, Petri
Elsevier
21.10.2023
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2024030710233
https://urn.fi/URN:NBN:fi-fe2024030710233
Kuvaus
vertaisarvioitu
© 2023 The Author(s). Published by Elsevier Ltd on behalf of Prof JinHyo Joseph Yun. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
© 2023 The Author(s). Published by Elsevier Ltd on behalf of Prof JinHyo Joseph Yun. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Tiivistelmä
With increased digitalization and e-government services, Artificial Intelligence (AI) gained momentum. This paper focuses on AI-governance in Child Social Care field, exploring how aspects of individual, family/community factors are embedded in organizational level, especially when dealing with children resilience and wellbeing. A three-level based review has been conducted. In the first part we explored the interlink between individual factors associated to either resilience or wellbeing are connected to community and governance level where a new conceptual model is provided. In the second phase, we conducted an in-depth systematic literature review using PRISMA review protocol where new categorizations of identified literature with respect to individual, family and community levels in child social care field were suggested, while in the third phase, a review of relevant AI-initiatives in Europe and USA was performed. Finally, a comprehensive discussion of the literature review outcomes was carried out and a new updated conceptual model was provided.
Kokoelmat
- Artikkelit [2910]