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January 22, 2026Open Psychology0 citationsOpen Access

Investigating Global AI Attitudes, Experience with AI and Trust in ChatGPT in a Sample From India: A Study Attempt with Preliminary Findings

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CMChristian MontagYNYasmin D. NadafSKShanmukh V. Kamble

Key Points

  • The study aims to investigate how various global AI attitude measures relate to individual experiences and trust in AI, specifically ChatGPT.
  • Surveyed 225 participants from India
  • Administered six global AI attitude measures
  • Assessed correlations between AI attitudes, experience with AI, and trust in ChatGPT
  • Examined associations with personality traits using the Big Five model
  • AI attitude measures were found to be correlated with each other to varying extents
  • Experience with AI influenced attitudes towards AI and trust in ChatGPT
  • Preliminary results highlight the need for standardized measures in studying AI attitudes

Abstract

Abstract Recently, a variety of global AI attitude measures have been published providing insights into global positive and/or negative AI attitudes. The investigation of individual differences in AI attitudes represents a timely research endeavor, because AI attitudes might influence how much societies embrace the upcoming AI technology with its many facets. The present study is to our knowledge the first one showing how the following set of global AI attitude measures (six measures) are correlated with each other. In detail the GAAIS, the ATAI, the ATTARI-12, a (two) single item framework, the AIPA and the AIAS were administered and validated against varying levels of experience with AI and trust in ChatGPT. In N = 225 participants from India we observed that existing global AI attitude measures are associated with each other to different extent, and they also correlate meaningfully with the variables of experience with AI and trusting ChatGPT. Further, in the supplement associations with the Big Five of Personality are reported. The results of this study might be helpful to compare and translate findings from global AI attitude papers relying on different measures in the field. This is necessary, because the different measures administered might provide insights into global AI attitudes only to different degrees (given different content of items, item numbers and different psychometrics). This said, given the small sample size, sampling and some psychometric issues the present findings should be seen as very preliminary.

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Cite This Study

Montag et al. (2026) studied this question.

synapsesocial.com/papers/6971bd6a642b1836717e21fahttps://doi.org/10.1515/psych-2025-0012
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