Artificial intelligence and Public Innovations

Emmi Koskimies, Tony Kinder, Jari Stenvall, Jaana Leikas, Mika Nieminen

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

3 Citations (Scopus)

Abstract

Using machine learning to exploit investment in information and communications technologies, it potentially offers more personalized and appropriate services to citizens. AI already features across a wide range of public services, driving innovations in areas such as healthcare and traffic, and it could alter how public services are organized, how they interact with citizens, and how they can be integrated.

This chapter has two objectives: (1) to survey AI-enabled innovations operating in the public sector and (2) to explore the dynamics of AI-enabled innovation in public services. These discussions are structured by conceptualizing mutuality governance in the analysis and guidance of the ethical and problem-solving impact of AI. The research addresses the need for AI-enabled innovations to relate ethically to citizens, as many of the innovations originate or partner with AI-enabled capabilities in the private sector.

The chapter shows how the public and private sectors can successfully work together to deliver ethical AI by exploring the AI innovation ecosystems in two Finnish cities: Oulu and Tampere. We delve into how AI-enabled innovations can respond to the diverse needs of citizens, creating AI innovation ecosystems, including new governance arrangements.
Original languageEnglish
Title of host publicationPublic Innovation and Digital Transformation
EditorsHannele Väyrynen, Nina Helander, Harri Jalonen
PublisherRoutledge
Chapter5
Pages68-91
ISBN (Electronic)978-1-00-323085-4
ISBN (Print)978-1-03-213741-4
DOIs
Publication statusPublished - 8 Aug 2022
MoE publication typeA3 Part of a book or another research book

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