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<p>Today, there is a call for a responsible integration of AI into society. Building transparency and explainability into this integration is key, meaning AI should be understandable to end-users. Given the prevalence of AI in everyday technology, this focus on seeing into the black box misses a more fundamental need, that being an initial awareness of its presence. Using survey data collected from Australian (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(n=303\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>n</mi> <mo>=</mo> <mn>303</mn> </mrow> </math></EquationSource> </InlineEquation>) and UK (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(n=301\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>n</mi> <mo>=</mo> <mn>301</mn> </mrow> </math></EquationSource> </InlineEquation>) populations, this study estimates differences in awareness of AI across societal groups, as well as the relationship between AI awareness and beliefs about AI. Results demonstrate significantly lower awareness for traditionally digitally excluded groups, which is exacerbated for intersectional groupings such as those categorised by gender, age, and education. Further, lack of awareness predicts negative beliefs about AI. These findings highlight the importance of calibrating levels of AI visibility according to the needs of different people across society.</p>

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Seeing is believing: societal differences in AI awareness and the link to AI-related beliefs

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月4日

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  • Sarah Vivienne Bentley,
  • David Evans

摘要

Today, there is a call for a responsible integration of AI into society. Building transparency and explainability into this integration is key, meaning AI should be understandable to end-users. Given the prevalence of AI in everyday technology, this focus on seeing into the black box misses a more fundamental need, that being an initial awareness of its presence. Using survey data collected from Australian ( \(n=303\) n = 303 ) and UK ( \(n=301\) n = 301 ) populations, this study estimates differences in awareness of AI across societal groups, as well as the relationship between AI awareness and beliefs about AI. Results demonstrate significantly lower awareness for traditionally digitally excluded groups, which is exacerbated for intersectional groupings such as those categorised by gender, age, and education. Further, lack of awareness predicts negative beliefs about AI. These findings highlight the importance of calibrating levels of AI visibility according to the needs of different people across society.