Algorithmic Svadharma: When Recommender Systems Map the Moral Self

As AI platforms increasingly personal not just entertainment but ethical frameworks, a new tension emerges between the static, dharma-based identity of classical texts and the fluid, data-driven 'self' constructed by digital twins. This exploration examines how current large language models fail to capture the context-dependent nature of svadharma, often prioritizing aggregate behavior over individual moral trajectory, and proposes a new architectural approach to 'ethic-aware' personalization.

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