FAMILIE – scalable community assistance with ethical AI in smart cities

Mika Laakkonen; Ville Pietiläinen; Jari Kaivo-Oja; Minna Vanhanen; Hanna-Leena Huttunen

FAMILIE – scalable community assistance with ethical AI in smart cities

Mika Laakkonen, Ville Pietiläinen, Jari Kaivo-Oja, Minna Vanhanen, Hanna-Leena Huttunen

Yhteiskuntatieteiden tiedekunta

Tutkimustuotokset: Kirjoitus kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	englanti
Otsikko	EVA Berlin 2025
Alaotsikko	Electronic Media & the Visual Arts
Toimittajat	Dominik Lengyel
Sivumäärä	6
Tila	Hyväksytty/Painossa - 7 huhtik. 2025
OKM-julkaisutyyppi	A4 Vertaisarvioitu artikkelil konferenssijulkaisussa
Tapahtuma	EVA Berlin 2025: Electronic media and visual arts - Berliini, Saksa Kesto: 12 maalisk. 2025 → 14 maalisk. 2025

Konferenssi

Konferenssi	EVA Berlin 2025
Lyhennettä	EVA
Maa/Alue	Saksa
Kaupunki	Berliini
Ajanjakso	12.03.2025 → 14.03.2025

Hakusanat

AI
Ethics
Dynamic Network
Experience Design

Tieteenala

Tietojenkäsittely- ja informaatiotieteet
Psykologia
Liiketaloustiede

Muut tiedostot ja linkit

https://books.ub.uni-heidelberg.de/arthistoricum/catalog/series/eva?lang=en

Viite tähän julkaisuun

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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.",

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author = "Mika Laakkonen and Ville Pietil{\"a}inen and Jari Kaivo-Oja and Minna Vanhanen and Hanna-Leena Huttunen",

note = "EVA 2025 Florence; EVA Berlin 2025 : Electronic media and visual arts, EVA ; Conference date: 12-03-2025 Through 14-03-2025",

year = "2025",

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AU - Laakkonen, Mika

AU - Pietiläinen, Ville

AU - Kaivo-Oja, Jari

AU - Vanhanen, Minna

AU - Huttunen, Hanna-Leena

N1 - EVA 2025 Florence

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N2 - 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.

AB - 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.

KW - AI

KW - Ethics

KW - Dynamic Network

KW - Experience Design

UR - https://books.ub.uni-heidelberg.de/arthistoricum/catalog/series/eva?lang=en

M3 - Conference contribution

BT - EVA Berlin 2025

A2 - Lengyel, Dominik

T2 - EVA Berlin 2025

Y2 - 12 March 2025 through 14 March 2025

ER -