With artificial intelligence (AI) systems increasingly making high-stakes decisions in healthcare, mobility, and finance, accurately measuring human trust in these systems has become critical. A newly published study titled “Measuring Trust in Artificial Intelligence: Validation of an Established Scale and Its Short Form” addresses this growing need by validating both the full and a newly developed short form of the Trust in Automation Scale (TIAS). The study establishes these tools as essential instruments for capturing how much people trust the AI systems they interact with, and why that trust matters for real-world adoption.
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