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Contemplative Artificial Intelligence

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Resumen del artículo

Título de Paperzilla
Can AI Find Enlightenment? Exploring Buddhist Principles for Ethical AI (Pilot Study)

This paper proposes a framework for building ethical AI by incorporating principles from Buddhist philosophy, such as mindfulness, emptiness, non-duality, and boundless care. A pilot study showed that prompting LLMs with contemplative insights improved their performance on a harmful prompt benchmark and increased cooperation in a Prisoner's Dilemma task. However, the study's limited scope, reliance on extrinsic prompting, and lack of deeper integration of these principles into AI architecture warrant further investigation.

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This paper suggests that AI could be made more ethical by incorporating principles from Buddhist philosophy, like mindfulness and compassion. The idea is to build AI that inherently cares about reducing suffering, not just following rules.

Posibles conflictos de intereses

None identified.

Limitaciones identificadas

Potential for misinterpretation of philosophical concepts
The proposed framework relies on interpretations of ancient Buddhist teachings, which may not translate perfectly to AI and could be misinterpreted.
Lack of detailed implementation specifics
It's unclear how these abstract contemplative principles would be concretely implemented in complex AI systems. More technical details are needed.
Superficial implementation in pilot study
The pilot study relies on extrinsic prompting of LLMs, which is a superficial approach compared to integrating these principles into the AI's core architecture. Deeper integration is needed to ensure robust alignment.
Limited scope of contemplative traditions
The paper focuses primarily on Buddhist traditions, potentially neglecting valuable insights from other contemplative practices.
Lack of robust empirical evidence for benevolence
The claim that an AI trained on these principles will be 'benevolent' is not conclusively demonstrated. Rigorous testing and evaluation are needed to support this claim.
Oversimplification of value alignment problem
The proposed framework doesn't fully address the complexities of value alignment, such as handling conflicting values or adapting to unforeseen scenarios.

Explicación de la calificación

This paper presents an interesting and novel approach to AI alignment by drawing inspiration from Buddhist contemplative traditions. The pilot study provides some preliminary evidence to support the potential benefits of this approach. However, several limitations exist, including a lack of detailed implementation specifics, the potential for misinterpretation of philosophical concepts, and the need for more rigorous empirical testing to validate the claims of improved alignment. As the pilot study uses extrinsic prompting only, it has limited impact.

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Información del archivo

Título original: Contemplative Artificial Intelligence
Subido: 19 ago 2025, 16:30:25
Privacidad: Público