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Researchers developed the Fears Towards Generative Artificial Intelligence (FTGAI) scale to measure concerns about AI. The scale shows that negative AI attitudes and job fears increase anxiety, while familiarity reduces it.

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Area of Science:

  • Psychology
  • Artificial Intelligence Studies
  • Sociology

Background:

  • Generative AI is rapidly integrating into daily life, raising public concerns.
  • Existing measurement tools do not adequately capture fears specific to generative AI.
  • Understanding public apprehension is crucial for responsible AI development and policy.

Purpose of the Study:

  • To develop and validate a reliable instrument for assessing fears towards generative artificial intelligence (FTGAI).
  • To identify key factors influencing individuals' apprehension regarding generative AI.
  • To provide a tool for researchers and policymakers to gauge and address societal fears.

Main Methods:

  • Qualitative data from focus groups informed initial item generation.
  • Quantitative validation involved 303 participants for scale development.
  • Exploratory factor analysis and regression models were used for psychometric assessment.

Main Results:

  • The initial 37-item scale demonstrated a unidimensional structure with strong reliability and content validity.
  • Negative AI attitudes and perceived employment threats predicted higher FTGAI scores.
  • Increased AI usage and familiarity correlated with decreased fear.

Conclusions:

  • The validated FTGAI scale effectively measures concerns about generative AI.
  • The study identified significant predictors of AI-related fears.
  • A short 4-item version also exhibits good psychometric properties, offering a practical measurement tool.