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Artificial intelligence (AI) use may lead to dehumanization, impacting users

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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Sociology

Background:

  • Artificial intelligence (AI) tools are increasingly used for tasks requiring human intelligence.
  • Understanding the psychosocial impacts of AI is crucial, alongside its benefits.
  • Concerns exist regarding AI potentially diminishing users' sense of humanity.

Purpose of the Study:

  • To explore adverse psychosocial outcomes of AI use, specifically focusing on dehumanization.
  • To synthesize research on the risks of dehumanization associated with AI employment.
  • To identify potential interventions for mitigating these risks.

Main Methods:

  • Review and synthesis of existing research on AI and dehumanization.
  • Theoretical framework distinguishing between meta-, self-, and other-dehumanization.
  • Categorization of AI use-induced dehumanization into three levels: human-AI interaction, intrapersonal dynamics, and interpersonal relationships.

Main Results:

  • AI use can lead to dehumanization across human-AI interaction, intrapersonal dynamics, and interpersonal relationships.
  • Dehumanization risks are linked to users' attitudes toward AI, self-regard, and social connections.
  • Potential consequences include negative impacts on users' sense of self and social bonds.

Conclusions:

  • AI employment carries risks of psychosocial harm, notably dehumanization.
  • Interventions targeting AI design, user behavior, and community context can mitigate these risks.
  • Further research is needed to fully understand and address the complex relationship between AI and human psychology.