Dark Tetrad traits and problematic generative artificial intelligence use: the serial mediating role of individualism and intolerance of uncertainty

The rapid proliferation of generative artificial intelligence (GAI) has fundamentally altered the landscape of human-computer interaction, prompting researchers to investigate the psychological underpinnings of how individuals engage with these powerful tools. A comprehensive study published in the journal BMC Psychology has identified a significant correlation between dark personality traits—specifically narcissism—and the problematic use of generative artificial intelligence (PGAIU). The research, led by Kağan Kircaburun, an assistant professor at Düzce University, reveals that this relationship is not direct but is instead influenced by specific cultural orientations and psychological stressors, with notable differences observed between men and women.

Defining Problematic Generative Artificial Intelligence Use

As generative AI tools like ChatGPT, Midjourney, and Claude become integrated into professional and personal spheres, psychologists have begun to define the boundaries of "problematic use." Unlike frequent or intensive use, which can be adaptive and highly productive, problematic use is characterized by a loss of control and functional impairment. It involves a pattern of excessive or harmful engagement that leads to significant difficulties in an individual’s daily life, including interference with occupational responsibilities, academic performance, and interpersonal relationships.

A core component of this phenomenon is "cognitive overreliance." This occurs when a user increasingly delegates critical thinking, creative problem-solving, and judgment to AI systems, eventually becoming unwilling or unable to perform these activities independently. For some, the AI serves as a mechanism to avoid difficult tasks, boredom, or unpleasant emotions. The psychological dependence manifests as compulsive checking, repeated prompting, and a persistent inability to reduce usage despite negative consequences such as sleep deprivation or social isolation.

Methodology and Study Parameters

To investigate these dynamics, Kağan Kircaburun conducted an extensive online survey through the Prolific platform, recruiting 677 active users of generative AI. The participant pool was balanced, with a 50% male representation and an average age of approximately 40 years. This demographic diversity provided a robust foundation for analyzing how age-independent personality traits influence technology adoption and potential misuse.

The study employed several validated psychological assessments to measure the variables in question:

  • The Problematic GAI Use Scale: An adapted version of scales used to measure problematic conversational AI use, designed to capture impaired control and functional impairment.
  • The Dark Triad Dirty Dozen & Short Sadistic Impulses Scale: These measured the "Dark Tetrad" of personality: Machiavellianism, narcissism, psychopathy, and sadism.
  • The Individualism and Collectivism Scale: Specifically focusing on "vertical individualism," which measures a person’s drive for independence and status within a competitive framework.
  • The Intolerance of Uncertainty Scale: Assessing the degree to which individuals find unpredictable situations distressing or threatening.

The Role of the Dark Tetrad in AI Engagement

The "Dark Tetrad" represents a constellation of socially aversive traits. Narcissism, characterized by grandiosity and a need for admiration; Machiavellianism, involving strategic manipulation; psychopathy, defined by callousness and low empathy; and sadism, the tendency to derive pleasure from the suffering or humiliation of others.

The study’s results indicated that individuals with higher scores in narcissism, Machiavellianism, and sadism were more likely to report problematic levels of AI use. Among these, narcissism emerged as a primary driver. Narcissists often seek shortcuts to achieve status and admiration; generative AI provides a low-effort means to produce high-quality content—be it text, art, or code—that can be used to bolster one’s self-image and project an aura of competence or brilliance to others.

Vertical Individualism: The Competitive Catalyst

A pivotal finding of the research is the mediating role of "vertical individualism." This cultural orientation emphasizes personal autonomy and independence while simultaneously accepting—and often seeking—inequality in status and power. It is a worldview where life is viewed as a competition, and individual achievement is the primary metric of success.

The study found that for women, vertical individualism fully mediated the relationship between narcissism and problematic AI use. This suggests that for narcissistic women, the drive to use AI problematically stems almost entirely from the desire to maintain a competitive edge and achieve high status in an individualistic framework. In men, the mediation was partial, indicating that while vertical individualism plays a significant role, other factors also contribute to the compulsive use of the technology.

Intolerance of Uncertainty and the Masculine AI Experience

For male participants, a second mediator—intolerance of uncertainty—played a crucial role. Intolerance of uncertainty describes a psychological state where the "unknown" is perceived as inherently stressful. Individuals with high levels of this trait often engage in "safety behaviors" to mitigate the anxiety of unpredictable outcomes.

The research suggests that for men with narcissistic or dark personality traits, generative AI serves as a tool to eliminate the uncertainty inherent in creative or analytical tasks. By providing immediate, definitive answers and generating content on demand, AI reduces the psychological discomfort of facing a "blank page" or an unsolved problem. This relief from uncertainty reinforces the behavior, leading to a cycle of overreliance and, eventually, problematic use.

Chronology of Research in Digital Dependency

The study of problematic AI use is the latest chapter in a decades-long effort by psychologists to understand digital addiction.

  • The Late 1990s: Research focused on general "Internet Addiction Disorder" as home connectivity became common.
  • The 2000s: The focus shifted to Online Gaming Addiction, particularly with the rise of Massively Multiplayer Online Role-Playing Games (MMORPGs).
  • The 2010s: The advent of the smartphone led to extensive studies on Social Media Addiction and the "Fear of Missing Out" (FOMO).
  • The 2020s: With the release of Large Language Models (LLMs) to the public in late 2022, research has pivoted toward the psychological impacts of Generative AI.

Kircaburun’s study is among the first to specifically link the Dark Tetrad to this new medium, building on previous findings that had already established links between these traits and problematic social media or smartphone use.

Comparative Analysis: AI vs. Traditional Digital Media

While previous forms of digital addiction often centered on social validation (social media) or escapism (gaming), problematic AI use is uniquely tied to "productivity" and "cognitive delegation." The study highlights that because AI can perform tasks that were previously the sole domain of human intellect, the potential for "functional impairment" is higher. A user might not just lose time; they may lose the actual skill sets required for their profession.

The study’s findings on narcissism and vertical individualism suggest that AI is being used as a "status multiplier." Where a narcissistic user might have previously used social media to curate a physical image, they now use GAI to curate an intellectual or creative image, often bypassing the actual learning process required to achieve those results authentically.

Implications for the Workplace and Education

The findings have significant implications for how organizations and educational institutions approach AI integration. If problematic use is driven by dark personality traits and a competitive, individualistic mindset, then "AI literacy" programs must go beyond technical training. They must also address the ethical and psychological dimensions of AI reliance.

In educational settings, the "cognitive overreliance" identified in the study poses a risk to critical thinking development. Students who score high on vertical individualism may view AI as a tool to "win" at grades rather than a tool to assist in learning, leading to a hollowed-out educational experience. In the workplace, managers may need to distinguish between "AI-assisted productivity" and "AI-masked incompetence," where employees use GAI to hide a lack of fundamental skills or to manipulate their standing within the company.

Limitations and Future Research Directions

Despite the depth of the findings, the study author acknowledges several limitations. The cross-sectional design of the survey means that causal relationships cannot be definitively proven; while it appears that narcissism leads to problematic AI use via vertical individualism, longitudinal studies would be required to confirm this trajectory over time.

Furthermore, the data relies on self-reports, which can be subject to bias, particularly among individuals with dark personality traits who may be less inclined to admit to "impaired control." Finally, the average levels of problematic use in the sample were relatively low, suggesting that the study captures the early stages of a developing societal issue rather than a widespread clinical epidemic.

Expert Analysis and Concluding Remarks

The research by Kağan Kircaburun provides a vital framework for understanding the "human factor" in the AI revolution. It suggests that our personality and cultural values dictate whether we use AI as a ladder for growth or a crutch that leads to dependency.

"Overall, the findings highlight the central role of individualistic value orientations and uncertainty-related processes in explaining how dark personality traits contribute to PGAIU," Kircaburun concluded. As AI continues to evolve, the psychological community will likely focus more on these internal drivers. The challenge for the future lies in fostering a culture of "horizontal collectivism" or adaptive independence where AI is used to enhance human capability rather than serve as a shortcut for those seeking status at the expense of genuine skill and psychological well-being.

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