Incorporating interdisciplinary perspectives is seen as an essential step towards enhancing artificial intelligence (AI) ethics. In this regard, the field of arts is perceived to play a key role in elucidating diverse historical and cultural narratives, serving as a bridge across research communities. Most of the works that examine the interplay between the field of arts and AI ethics concern digital artworks, largely exploring the potential of computational tools in being able to surface biases in AI systems. In this paper, we investigate a complementary direction--that of uncovering the unique socio-cultural perspectives embedded in human-made art, which in turn, can be valuable in expanding the horizon of AI ethics. Through semi-structured interviews across sixteen artists, art scholars, and researchers of diverse Indian art forms like music, sculpture, painting, floor drawings, dance, etc., we explore how {\it non-Western} ethical abstractions, methods of learning, and participatory practices observed in Indian arts, one of the most ancient yet perpetual and influential art traditions, can shed light on aspects related to ethical AI systems. Through a case study concerning the Indian dance system (i.e. the {\it `Natyashastra'}), we analyze potential pathways towards enhancing ethics in AI systems. Insights from our study outline the need for (1) incorporating empathy in ethical AI algorithms, (2) integrating multimodal data formats for ethical AI system design and development, (3) viewing AI ethics as a dynamic, diverse, cumulative, and shared process rather than as a static, self-contained framework to facilitate adaptability without annihilation of values (4) consistent life-long learning to enhance AI accountability

翻译：融入跨学科视角被视为提升人工智能（AI）伦理的重要途径。在此方面，艺术领域被认为在阐释多元历史与文化叙事中发挥着关键作用，并作为连接不同研究社区的桥梁。当前审视艺术与AI伦理互动关系的研究多聚焦于数字艺术作品，主要探索计算工具在揭示AI系统偏见方面的潜力。本文则探讨一个互补的研究方向——揭示人造艺术中蕴含的独特社会文化视角，这些视角对拓展AI伦理边界具有重要价值。通过对十六位涵盖音乐、雕塑、绘画、地面艺术、舞蹈等多元印度艺术形式的艺术家、艺术学者及研究人员进行半结构化访谈，我们探究了作为最古老、永恒且具影响力的艺术传统之一的印度艺术中所呈现的"非西方"伦理抽象概念、学习方法及参与式实践，如何为构建合乎伦理的AI系统提供启示。以印度舞蹈体系（即《舞论》）为案例，我们分析了提升AI伦理的潜在路径。研究结果揭示了以下需求：（1）在伦理AI算法中融入共情（2）整合多模态数据格式以实现伦理AI系统设计与开发（3）将AI伦理视为动态、多元、累积且共享的过程，而非静态自足框架，以在不消解核心价值的前提下促进适应性（4）通过持续终身学习增强AI问责性