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World‐making for a future with sentient AI.

  • Published In: British Journal of Social Psychology, 2025, v. 64, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Pauketat, Janet V.T.; Ladak, Ali; Anthis, Jacy Reese 3 of 3

Abstract

The ways people imagine possible futures with artificial intelligence (AI) affects future world‐making—how the future is produced through cultural propagation, design, engineering, policy, and social interaction—yet there has been little empirical study of everyday people's expectations for AI futures. We addressed this by analysing two waves (2021 and 2023) of USA nationally representative data from the Artificial Intelligence, Morality, and Sentience (AIMS) survey on the public's forecasts about an imagined future world with widespread AI sentience (total N = 2401). Average responses to six forecasts (exploiting AI labour, treating AI cruelly, using AI research subjects, AI welfare, AI rights advocacy, AI unhappiness reduction) showed mixed expectations for humanity's future with AI. Regressions of these forecasts on demographics such as age, the year the data was collected, individual psychological differences (the tendency to anthropomorphise, mind perception, techno‐animist beliefs), and attitudes towards current AI (perceived threat and policy support) found significant effects on all forecasts from mind perception, anthropomorphism, and political orientation, and on five forecasts from techno‐animism. The realized future that comes to pass will depend on these dynamic social psychological factors, consequent changes in expectations, and how those expectations shape acts of world‐making. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Social Psychology. 2025/01, Vol. 64, Issue 1, p1
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:0144-6665
  • DOI:10.1111/bjso.12844
  • Accession Number:183985280
  • Copyright Statement:Copyright of British Journal of Social Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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