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Research Paper | Economics | Volume 14 Issue 5, May 2025 | Pages: 1801 - 1805 | India
Artificial Intelligence, Agentic Systems, and the Crisis of Measure: Reimagining Humanities and Liberal Education Under NEP-2020
Abstract: The restructuring of undergraduate education under the National Education Policy (NEP) 2020 is largely framed as a response to emerging technologies and evolving labour market demands. This paper argues that the rise of Artificial Intelligence (AI) represents a deeper epistemic disruption, particularly within the humanities. Unlike earlier technological transformations, which primarily influenced pedagogy and access, AI intervenes in the processes of knowledge production, interpretation, and application. The transformation of AI from a tool into an active agent- capable of dynamically responding to context in an object-oriented manner-constitutes a tectonic shift in knowledge systems. The emergence of agentic AI systems further intensifies this disruption by enabling autonomous decision-making and the contextual execution of knowledge, thereby displacing human cognitive centrality. The paper conceptualizes this transformation as a ?crisis of measure,? wherein the criteria for validating knowledge themselves become unstable. Drawing on both classical epistemology and recent AI scholarship, it argues for a reconstitution of the humanities and liberal education as central to preserving human agency, ethical responsibility, and epistemic awareness. The paper concludes by proposing a reorientation of undergraduate education toward reconstructing the foundations of knowledge in an increasingly autonomous technological environment.
Keywords: Artificial Intelligence, Epistemology, Humanities, Liberal Education, NEP 2020, Knowledge Systems, Agency, Higher Education Reform
How to Cite?: Dr. K. Srinivas, "Artificial Intelligence, Agentic Systems, and the Crisis of Measure: Reimagining Humanities and Liberal Education Under NEP-2020", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 1801-1805, https://www.ijsr.net/getabstract.php?paperid=SR25516165900, DOI: https://dx.doi.org/10.21275/SR25516165900