结合印度教神学多元性与神圣表征的生成式AI对齐

中文摘要 AI 辅助

生成式AI系统越来越多地被用于回答个人问题和调解日常实践，包括宗教相关活动。然而，现有关AI对齐与伦理的讨论大多以世俗、西方及亚伯拉罕诸教的宗教假设为中心，对其他信仰传统的关注有限。本文中，我们研究印度教用户如何结合自身宗教知识、信仰与实践使用生成式AI系统。基于对孟加拉国印度教参与者的15次半结构化访谈，我们分析用户如何解读AI生成的宗教表征、经文解释、虔敬互动及合成宗教媒介。我们发现AI既便捷又存在伦理问题：AI支持经文探究、虔敬可视化及宗教叙事创作，但研究也发现了神学扁平化、文化误表征、虔敬操控及神圣存在与权威模拟等担忧。我们的结论是，生成式AI的宗教对齐需要解释性对齐：系统应披露自身局限、保护多元性，并避免模拟神圣权威与谄媚式个性化。

英文摘要

Generative AI systems are increasingly used to answer personal questions and mediate everyday practices, including religion. However, existing discussions around AI alignment and ethics have largely centered secular, Western, and Abrahamic assumptions about religion, offering limited attention to other faith-based traditions. In this paper, we examine how Hindu users engage with generative AI systems in relation to their religious knowledge, belief, and practice. Drawing on 15 semi-structured interviews with Bangladeshi Hindu participants, we analyze how users interpret AI-generated religious representations, scriptural explanations, devotional interactions, and synthetic religious media. We found that AI can be both accessible and ethically troubling. While AI supported scriptural inquiry, devotional visualization, and religious storytelling, our study also identified concerns about theological flattening, cultural misrepresentation, devotional manipulation, and the simulation of sacred presence and authority. We conclude by arguing that religious alignment in generative AI requires interpretive alignment: systems that disclose their limits, preserve plurality, and avoid simulating sacred authority and sycophantic personalization.

发表机构

• University of Toronto（多伦多大学）
• Khulna University of Engineering & Technology（库尔纳工程技术大学）

机构由 AI 辅助整理，请以论文原文为准。