A4 Article in conference proceedings
Lost People : How National AI-Strategies Paying Attention to Users (2021)


Saariluoma, P., & Salo-Pöntinen, H. (2021). Lost People : How National AI-Strategies Paying Attention to Users. In T. Ahram, R. Taiar, & F. Groff (Eds.), Human Interaction, Emerging Technologies and Future Applications IV : Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2021), April 28-30, 2021, Strasbourg, France (pp. 563-568). Springer. Advances in Intelligent Systems and Computing, 1378. https://doi.org/10.1007/978-3-030-74009-2_72


JYU authors or editors


Publication details

All authors or editors: Saariluoma, Pertti; Salo-Pöntinen, Henrikki

Parent publication: Human Interaction, Emerging Technologies and Future Applications IV : Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET – AI 2021), April 28-30, 2021, Strasbourg, France

Parent publication editors: Ahram, Tareq; Taiar, Redha; Groff, Fabienne

Conference:

  • International Conference on Human Interaction and Emerging Technologies

Place and date of conference: Strasbourg, France, 28.-30.4.2021

ISBN: 978-3-030-73270-7

eISBN: 978-3-030-74009-2

Journal or series: Advances in Intelligent Systems and Computing

ISSN: 2194-5357

eISSN: 2194-5365

Publication year: 2021

Number in series: 1378

Pages range: 563-568

Number of pages in the book: 706

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-74009-2_72

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/75283


Abstract

Abstract. This paper focuses on how major national strategies call attention to the
human dimensions of artificial intelligence (AI). All intelligent technologies using
AI are constructed for people as either active users or as relatively passive target
persons. Thus, human properties and human research should have an important
role in developing future AI systems.
In these development strategies, it is interesting to pay attention to the underlying
intuitive assumptions and tacit commitments. This issue is especially interesting
when we think about what governmental working groups say about people
and their changing lives in their strategies.
The traditional stances adopted in writing national strategies, in which technology
development is seen as a purely technical issue, should be challenged. In the
end, by putting human dimensions aside, societies cannot prepare themselves for
the transformation risks. It is also probable that this stance makes communication
between technical and human research more difficult.

Keywords: AI-strategies · Human factors · Social transformation


Keywords: artificial intelligence; human factors; technology policy; development strategies; societal change

Free keywords: AI-strategies; human factors; social transformation


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Preliminary JUFO rating: 1


Last updated on 2021-09-08 at 12:07