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Perceptions and Realities of Text-to-Image Generation

Publiceringsår

2023

Upphovspersoner

Oppenlaender, Jonas; Silvennoinen, Johanna; Paananen, Ville; Visuri, Aku

Abstrakt

Generative artificial intelligence (AI) is a widely popular technology that will have a profound impact on society and individuals. Less than a decade ago, it was thought that creative work would be among the last to be automated – yet today, we see AI encroaching on many creative domains. In this paper, we present the findings of a survey study on people’s perceptions of text-to-image generation. We touch on participants’ technical understanding of the emerging technology, their fears and concerns, and thoughts about risks and dangers of text-to-image generation to the individual and society. We find that while participants were aware of the risks and dangers associated with the technology, only few participants considered the technology to be a personal risk. The risks for others were more easy to recognize for participants. Artists were particularly seen at risk. Interestingly, participants who had tried the technology rated its future importance lower than those who had not tried it. This result shows that many people are still oblivious of the potential personal risks of generative artificial intelligence and the impending societal changes associated with this technology.
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Organisationer och upphovspersoner

Uleåborgs universitet

Visuri Aku Orcid -palvelun logo

Paananen Ville Orcid -palvelun logo

Jyväskylä universitet

Silvennoinen Johanna Orcid -palvelun logo

Oppenländer Jonas Orcid -palvelun logo

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Konferens

Artikelstyp

Annan artikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A4 Artikel i en konferenspublikation

Publikationskanalens uppgifter

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Ja

Öppen tillgång till publikationskanalen

Helt öppen publikationskanal

Licens för förläggarens version

Annan licens

Parallellsparad

Ja

Parallellagringens licens

Muu lisenssi

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap

Nyckelord

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Publiceringsland

Förenta staterna (USA)

Förlagets internationalitet

Internationell

Språk

engelska

Internationell sampublikation

Nej

Sampublikation med ett företag

Nej

DOI

10.1145/3616961.3616978

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja