FAMILIE – Scalable Community Assistance with Ethical AI in Smart Cities

Tietueen suppeat tiedot
dc.contributor.authorLaakkonen, Mika
dc.contributor.authorPietiläinen, Ville
dc.contributor.authorKaivo-oja, Jari
dc.contributor.authorVanhanen, Minna
dc.contributor.authorHuttunen, Hanna-Leena
dc.contributor.organizationfi=tulevaisuuden tutkimuskeskus|en=Finland Futures Research Centre (FFRC)|
dc.contributor.organization-code1.2.246.10.2458963.20.36987167164
dc.converis.publication-id491497504
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/491497504
dc.date.accessioned2026-01-21T12:35:07Z
dc.date.available2026-01-21T12:35:07Z
dc.description.abstract<p>Abstract – The FAMILIE project leverages advanced AI to address the fragmentation and lack of digitalization in-home services by developing a scalable, community-based platform for families in smart cities. Through pilots in Oulu and Rovaniemi, the project will commercialize a mobile application and a community economy-based operating logic powered by AI. This approach ensures that AI-driven service needs are met locally, reducing unnecessary logistics and environmental impact. The AI-enabled platform's foundation can be scaled and implemented in other urban areas in Finland and abroad, promoting sustainable development and equitable distribution of profits within the service ecosystem.<br></p>
dc.format.pagerange73
dc.format.pagerange78
dc.identifier.isbn978-88-596-2494-3
dc.identifier.olddbid212697
dc.identifier.oldhandle10024/195715
dc.identifier.urihttps://www.utupub.fi/handle/11111/53060
dc.identifier.urlhttps://www.digitalmeetsculture.net/article/eva-florence-2025/
dc.identifier.urnURN:NBN:fi-fe2025082791464
dc.language.isoen
dc.okm.affiliatedauthorKaivo-oja, Jari
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline222 Other engineering and technologiesen_GB
dc.okm.discipline511 Economicsen_GB
dc.okm.discipline512 Business and managementen_GB
dc.okm.discipline520 Other social sciencesen_GB
dc.okm.discipline616 Other humanitiesen_GB
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.discipline222 Muu tekniikkafi_FI
dc.okm.discipline511 Kansantaloustiedefi_FI
dc.okm.discipline512 Liiketaloustiedefi_FI
dc.okm.discipline520 Muut yhteiskuntatieteetfi_FI
dc.okm.discipline616 Muut humanistiset tieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryItalyen_GB
dc.publisher.countryItaliafi_FI
dc.publisher.country-codeIT
dc.relation.conferenceElectronic Media & the Visual Arts Conference
dc.relation.ispartofseriesEVA - Electronic Media & the Visual Arts
dc.source.identifierhttps://www.utupub.fi/handle/10024/195715
dc.titleFAMILIE – Scalable Community Assistance with Ethical AI in Smart Cities
dc.title.bookElectronic media & the visual arts : EVA 2025 Florence : 26 May 2025
dc.year.issued2025

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