AI: What Do We Fear? What Do We Hope For? Perception of the Societal Impact of AI in a European Transnational Cross-Sectional Study

  • Andrés del Álamo Cienfuegos
  • , Piotr Lis
  • , Olha Zadorozhna
  • , Oscar Espiritusanto
  • , Bogna Gawronska-Nowak
  • , Anita Zarzycka

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    Abstract

    This paper presents the results of a qualitative transnational and cross-sectional study of the attitudes, fears, hopes and uses of AI in the framework of the KT4D HORIZON 2024 project 11The Knowledge Technologies for Democracy (KT4D) has received funding from the EU's Horizon Europe research and innovation programme under Grant Agreement no. 101094302. It is a project that aims to foster civic participation in democracy by capitalising on the benefits of developments in AI & Big Data Technologies by developing and validating tools, guidelines and a Digital Democracy Lab Demonstrators platform as well as conducting multidisciplinary research on the use and perception of this cutting-edge technologies. More information can be found here: https://kt4democracy.eu/. It contributes to the literature exploring social factors behind the discourse and practice surrounding AI. Focus group meetings with laypersons in Spain and Poland explored the impact of AI on healthcare, entertainment, education, employment and democracy. The expected changes in healthcare were perceived as most positive, whereas the impact on civil rights and democracy brought up the most fears regarding privacy, misinformation, manipulation and invasive surveillance. We conclude that digital literacy levels and trust influence heavily in the attitudes towards AI. We also suggest that media narratives should not be underestimated as a determining factor in building attitudes towards technology.
    Original languageEnglish
    Title of host publication 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)
    PublisherIEEE
    Pages1-9
    Number of pages9
    ISBN (Electronic)979-8-3503-6243-5
    ISBN (Print)979-8-3503-6244-2
    DOIs
    Publication statusPublished - 24 Jun 2024
    EventInternational Conference on Engineering, Technology, and Innovation (ICE/ITMC) - Funchal, Portugal
    Duration: 24 Jun 202428 Jun 2024

    Publication series

    Name2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)
    PublisherIEEE
    ISSN (Print)2334-315X
    ISSN (Electronic)2693-8855

    Conference

    ConferenceInternational Conference on Engineering, Technology, and Innovation (ICE/ITMC)
    Country/TerritoryPortugal
    CityFunchal
    Period24/06/2428/06/24

    Funding

    The Knowledge Technologies for Democracy (KT4D) has received funding from the EU s Horizon Europe research and innovation programme under Grant Agreement no. 101094302. It is a project that aims to foster civic participation in democracy by capitalising on the benefits of developments in AI & Big Data Technologies by developing and validating tools, guidelines and a Digital Democracy Lab Demonstrators platform as well as conducting multidisciplinary research on the use and perception of this cutting-edge technologies. More information can be found here: https://kt4democracy.eu/. Special thanks for the research and recruitment of participant s team in both in IRMIR and Cibervoluntarios who has worked in the gathering and processing of data for this focus groups. Special thanks in particular to Luc ia Garc ia Larrauri who was essential in the execution of the research, particularly in the execution of the focus group methodology and data gathering.

    FundersFunder number
    Horizon Europe101094302

      Keywords

      • AI
      • digital literacy
      • trust
      • TAM
      • generational gap
      • user acceptance

      Fingerprint

      Dive into the research topics of 'AI: What Do We Fear? What Do We Hope For? Perception of the Societal Impact of AI in a European Transnational Cross-Sectional Study'. Together they form a unique fingerprint.

      Cite this