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Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale

📅 May 10, 2022 👤 Bingcheng Wang, Pei‐Luen Patrick Rau, Tianyi Yuan 📖 Behaviour and Information Technology 📊 723 citations

🤖 Plain-English Summary

As artificial intelligence (AI) became a part of daily life, it has become important to determine user competence in using AI technology. Further, AI literacy is significantly related to digital literacy, attitude towards robots, and users’ daily usage of AI.

🔑 Key Findings

  • Here, we propose the concept of AI literacy and develop a quantitative scale for obtaining accurate data regarding the AI literacy of ordinary users.
  • We first identified the primary core constructs of AI literacy, including awareness, use, evaluation, and ethics.
  • Next, we generated 65 items to capture these four constructs; only 31 items were retained after a three-step content validation process.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published May 10, 2022
Journal Behaviour and Information Technology
Authors Bingcheng Wang, Pei‐Luen Patrick Rau, Tianyi Yuan
DOI 10.1080/0144929x.2022.2072768
Citations 723
Source OpenAlex

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