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

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.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

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

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

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: