The AI’s Polite Evasion: How “Helpful†Bots Water Down Religion

Dedeepya Sukha (), Atif Mohammad () and Nikhil Natesh ()
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Dedeepya Sukha: University of Cumberlands, Williamsburg, KY, USA
Atif Mohammad: University of Cumberlands, Williamsburg, KY, USA
Nikhil Natesh: University of Cumberlands, Williamsburg, KY, USA

RAIS Conference Proceedings 2022-2026 from Research Association for Interdisciplinary Studies

Abstract: This paper examines the consequences of relying on artificial intelligence systems for religious and cultural understanding, arguing that such reliance threatens the transmission and preservation of spiritual traditions. Through an analysis of AI responses to questions about Hindu murti puja (deity worship), this paper introduces the concept of the "Polite Nothing," a programmed pattern in which AI systems produce respectful, carefully worded responses that lack substantive engagement with the complexity, internal debates, and contextual nuances inherent to religious traditions. By asking a leading AI model three related questions about idol worship in Hinduism, this research demonstrates how these systems consistently deliver answers that appear helpful but ultimately evade theological depth, transform communal religious discourse into individualized consumer choice, and flatten centuries of philosophical debate into safe, anodyne statements. This pattern is not incidental but structural, resulting directly from alignment training designed to avoid controversy and potential offense.

Keywords: Artificial Intelligence; Religious Education; Cultural Preservation; AI Bias; Hinduism; Algorithmic Evasion; Knowledge Transmission (search for similar items in EconPapers)
Pages: 6 pages
Date: 2026-03
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Published in Proceedings of the 43rd International RAIS Conference on Social Sciences and Humanities, March 12-13, 2026, pages 74-78

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Persistent link: https://EconPapers.repec.org/RePEc:smo:raiswp:0631

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