AI Contextual Framework: A Zoning Approach to Ethical AI Deployment

Authors

  • Yao Xie School of Medicine, University College Dublin, Ireland

DOI:

https://doi.org/10.1609/aies.v8i3.36801

Abstract

Drawing on the real-world pressing need for ethical AI governance, this extended abstract proposes a contextual framework using a zoning approach to guide AI deployment: adaptation zones, non-adaptation zones, and hybrid zones. Beyond its practical implications, this framework also raises a deeper societal question: As we advance toward an era of superintelligence and pervasive automation, is a fully automated society truly compatible with human nature and long-term well-being?

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Published

2025-10-15

How to Cite

Xie, Y. (2025). AI Contextual Framework: A Zoning Approach to Ethical AI Deployment. Proceedings of the AAAI ACM Conference on AI, Ethics, and Society, 8(3), 2942–2943. https://doi.org/10.1609/aies.v8i3.36801