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September 5, 2025Open Access

Personality Predictors of Attitudes and Misconduct Behaviors Related to Generative Artificial Intelligence: Evidence from the HEXACO and Dark Triad Models

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Authors

HLHaiying LiangXMXu MaoMRMichael Reiß

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Overview

Hierarchical regression reveals personality traits impact attitudes and misconduct regarding generative artificial intelligence.

Key Points

  • Extraversion and Openness to Experience are significant positive predictors of favorable attitudes toward generative artificial intelligence.
  • Honesty-Humility, Agreeableness, and Conscientiousness significantly predict GAI-related academic misconduct negatively.
  • Narcissism and Psychopathy are significant positive predictors of engaging in misconduct behaviors associated with generative artificial intelligence.
  • The study highlights the importance of personality traits in understanding GAI adoption and academic ethics.

Cite This Study

Liang et al. (2025) studied this question.

synapsesocial.com/papers/68bb5f3e6d6d5674bcd032a0https://doi.org/10.21203/rs.3.rs-7356639/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Personality traits measured by the HEXACO personality inventory and the dark triad predict university students’ attitudes and misconduct behaviors related to generative artificial intelligence2025 · 5 citations
  2. 2Personality traits measured by the HEXACO personality inventory and the dark triad predict university students’ attitudes and misconduct behaviors related to generative artificial intelligence2025
  3. 3A configurational exploration of how personality traits influence GAI academic misconduct behaviors using fuzzy-set qualitative comparative analysis2026 · 1 citations
  4. 4Personality predictors of AI-assisted academic cheating: The role of the dark triad, honesty–humility, self-enhancement values, and moral rationalization2026
  5. 5The dark side of generative AI: a two-wave prospective panel study of the Dark Tetrad in academic misconduct2026