The Illusion of Understanding: Generative AI, Epistemic Humility, and the Erosion of Intellectual Character
TL;DR
It is argued that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character, arguing that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character.
Abstract
Abstract The rapid adoption of generative AI tools has intensified debate about whether these technologies enhance or diminish human thinking. While proponents argue that AI can support learning through efficiency, personalization, and feedback, emerging research suggests that routine AI use may reduce recall, creativity, and original reasoning. This paper argues that the central risk posed by generative AI is not cognitive decline per se, but the erosion of epistemic humility – an intellectual virtue essential to learning, inquiry, and human flourishing. Drawing on Aristotelian and contemporary virtue epistemology, the paper conceptualizes epistemic humility as accurate awareness of one’s epistemic limits, openness to correction, and willingness to engage in sustained cognitive effort. Generative AI systems, by producing fluent and authoritative-seeming outputs, can foster an illusion of understanding in which users mistake access to information for genuine comprehension. This illusion encourages epistemic overconfidence, passive dependence, and the outsourcing of judgment, undermining the conditions for responsible knowing. The paper situates these concerns within broader debates about cognitive coupling between humans and AI, arguing that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character.