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A   STEM
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Quantifying the Epistemic Trust Gap: A Framework for Calibrating Human Expectations and Sentiment of Artificial Intelligence

Abstract Artificial intelligence is becoming part of how we learn, work, create, and make decisions. Yet as AI becomes more capable, many people either trust it too much or dismiss it too quickly. This paper explores that mismatch, which is described as the Epistemic Trust Gap (ETG)—the difference between what people believe AI can do and what it can actually do. Methodologically, this study conducts a qualitative literature review synthesizing recent interdisciplinary resear

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