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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Buddhist Philosophy: Impermanence, Non-self, and Ethical Engagement in the Lifecycle of Machine Learning Systems

Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Artificial Intelligence and Buddhist Philosophy: Impermanence, Non-self, and Ethical Engagement in the Lifecycle of Machine Learning Systems

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.