Language as Formation: Sanskrit, AI Character, and the Ethics of Digital Dialogue

This essay examines language as a formative dimension of human–AI inquiry. Taking recent work on AI character, multilingual value expression, and alignment as a contemporary point of departure, it asks whether conceptual distinctions preserved in Sanskrit traditions can contribute to more disciplined forms of dialogue without being treated as inherently superior, sacred computational code, or substitutes for empirical testing. The essay develops five question-generating distinctions — saṃvāda, buddhi, hṛdaya, śraddhā, and ṛta — and situates them within an asymmetrical model of human–AI dialogue in which artificial systems may contribute substantially to inquiry while human beings remain responsible for judgment and consequence. It concludes by proposing a comparative empirical framework for testing whether unfamiliar technical terms can help preserve conceptual distinctions and improve corrigibility, attention, and responsible agency.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-26
DOI
https://doi.org/10.5281/zenodo.22118907
Primary Topic
Indian and Buddhist Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Language as Formation: Sanskrit, AI Character, and the Ethics of Digital Dialogue

Rubens Turci
Zenodo (CERN European Organization for Nuclear Research)
Indian and Buddhist Studies
article

Language as Formation: Sanskrit, AI Character, and the Ethics of Digital Dialogue

Rubens Turci
article en

Abstract

This essay examines language as a formative dimension of human–AI inquiry. Taking recent work on AI character, multilingual value expression, and alignment as a contemporary point of departure, it asks whether conceptual distinctions preserved in Sanskrit traditions can contribute to more disciplined forms of dialogue without being treated as inherently superior, sacred computational code, or substitutes for empirical testing. The essay develops five question-generating distinctions — saṃvāda, buddhi, hṛdaya, śraddhā, and ṛta — and situates them within an asymmetrical model of human–AI dialogue in which artificial systems may contribute substantially to inquiry while human beings remain responsible for judgment and consequence. It concludes by proposing a comparative empirical framework for testing whether unfamiliar technical terms can help preserve conceptual distinctions and improve corrigibility, attention, and responsible agency.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 1%
Indian and Buddhist Studies
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