AI Anxiety Test (AIAS)

Artificial intelligence has moved rapidly from computer science laboratories into everyday software, workplaces, and public discourse. While these tools offer remarkable capabilities, their sudden ubiquity has also raised widespread concerns about economic disruption, human autonomy, and technological misstep. To capture this specific psychological response, researchers Yu-Yin Wang and Yi-Shun Wang developed the AI Anxiety Scale (AIAS), published in 2022. The instrument was designed to measure apprehension toward artificial intelligence as a multifaceted psychological construct, offering a structured way to evaluate how individuals respond to the rise of automated systems.

This assessment explores four distinct subscales established by the authors. Learning Anxiety measures the distress or overwhelm felt when attempting to understand, adapt to, or operate new AI software and concepts. Job Replacement reflects the fear that automated systems and robotic technologies will displace human workers, eliminate career paths, or render professional skills obsolete. Sociotechnical Blindness addresses concerns about over-reliance, capturing the apprehension that relying on AI will erode human reasoning, foster cognitive laziness, or create unhealthy societal dependence. Finally, AI Configuration captures worries regarding system errors, unpredictable behavior, potential misuse, and technical malfunctions that could escape human control.

Research using the AI Anxiety Scale (AIAS) reveals that anxiety surrounding technology is rarely uniform. An individual might comfortably embrace new learning opportunities while harboring intense worry about long-term job displacement, or feel confident in technological reliability while fearing a loss of personal autonomy. Psychological studies suggest that higher levels of AI anxiety are often linked to feelings of reduced control, rapid pacing of technological changes, and uncertainty about future career stability. Understanding where your specific concerns lie can help clarify whether your reaction stems from technical friction, broader economic fears, or worries about human agency.

The four dimensions are combined into an overall Total AI Anxiety score, which summarizes your overall level of apprehension regarding artificial intelligence. In everyday life, moderate concern is a common and understandable response to rapid technological shifts. A higher score indicates significant discomfort across multiple domain areas, whereas a lower score suggests a strong comfort level or relative indifference toward the integration of smart technologies. Recognizing these patterns allows individuals to navigate technological developments with greater self-awareness.

The comparison markers displayed alongside your results offer a general reference point rescaled from published community and student samples evaluated during the development of the AI Anxiety Scale (AIAS). These population markers represent estimated values rather than validated clinical percentiles or official norms for this online version. They are intended to provide a broad point of comparison showing where typical responses tend to land, rather than a definitive ranking of your personal score relative to the broader population.

This test is provided for educational and entertainment purposes only and is not a diagnostic tool or clinical evaluation. A high score simply indicates elevated apprehension regarding technological change, not a psychological disorder. This test is based on the AI Anxiety Scale (AIAS) published by Wang and Wang but uses original item phrasing and is not affiliated with the authors or their institutions. If anxiety about technology or work causes you significant distress, consider discussing your feelings with a qualified mental health professional or counselor.

References

• Wang, Y. & Wang, Y. (2019). Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), 619-634.