Are skepticism and moderation dominating attitudes toward AI‐based technologies?

AI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain–Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI‐powered robotic exoskeletons to enhance physical s...

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Publicado en:American Journal of Economics & Sociology Vol. 83; no. 3; pp. 567 - 608
Autores principales: Oprea, Simona‐Vasilica, Nica, Ionut, Bâra, Adela, Georgescu, Irina‐Alexandra
Formato: Artículo
Publicado: Wiley-Blackwell May2024
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Are skepticism and moderation dominating attitudes toward AI‐based technologies?
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          Oprea, Simona‐Vasilica
          Nica, Ionut
          Bâra, Adela
          Georgescu, Irina‐Alexandra
        affil: Department of Economic Informatics and Cybernetics, Bucharest University of Economics, Bucharest, Romania
      su:
        Attitudes toward technology
        Regional disparities
        Artificial intelligence
        Public opinion
        Robotic exoskeletons
        Brain-computer interfaces
      sug:
        subj:
          Attitudes toward technology
          Regional disparities
          Artificial intelligence
          Public opinion
          Robotic exoskeletons
          Brain-computer interfaces
      ab: AI advancements are poised to substantially modify human abilities in the foreseeable future. They include the integration of Brain–Computer Interfaces (BCIs) to augment cognitive functions, the application of gene editing, and the utilization of AI‐powered robotic exoskeletons to enhance physical strength. This study employs a comprehensive analytical framework combining factor analysis, clustering, ANOVA, and logistic regression to investigate public attitudes toward these transformative technologies. Our findings reveal three distinct clusters of public opinion reflecting varying optimism and concern toward AI technologies. Cluster 1 (1574 participants) held a positive view with high excitement while Cluster 2 (1334 participants) showed a balanced stance. Cluster 3 (2199 participants) expressed heightened concern despite some excitement. Notably, regional disparities, particularly between urban and rural participants, emerge as a prominent factor influencing these attitudes (ANOVA, F = 15.2, p < 0.001). Furthermore, logistic regression identifies key influencers of public perception, highlighting the significant roles played by religion and regional factors. The implications of these findings extend beyond understanding public sentiment. They underscore the need for informed policies that promote education and awareness about AI technologies, address ethical concerns, and engage the public in decision‐making processes. As society navigates this transformative technological landscape, a nuanced understanding of public attitudes becomes paramount, guiding ethical regulation, innovation, and public engagement strategies. This study provides valuable insights into the intricate dynamics surrounding AI acceptance and highlights the importance of adapting measures to evolving perceptions and attitudes among the general public.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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