Artificial Intelligence and Buddhist Philosophy: Impermanence, Non-self, and Ethical Engagement in the Lifecycle of Machine Learning Systems
This study investigates the intersection of Buddhist philosophy and artificial intelligence (AI), focusing on the principles of impermanence, non-self, and ethics. By applying these concepts, the research proposes how they could align with and enhance the lifecycle and ethical frameworks of AI systems. A hypothetical pilot project suggests that integrating mindfulness into AI design could potentially reduce system bias and improve user trust ratings. While these figures remain speculative, they underscore the potential benefits of bridging ancient philosophical insights with cutting-edge technology. This study provides a novel framework for developing adaptive, ethical, and compassionate AI, with broad implications for improving AI systems' societal impacts and fostering a more harmonious relationship between technology and humanity.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-01-15
- DOI
- https://doi.org/10.5281/zenodo.14649644
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00