AI Contextual Framework: A Zoning Approach to Ethical AI Deployment

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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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i3.36801
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Contextual Framework: A Zoning Approach to Ethical AI Deployment

Yao Xie
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Ethics and Social Impacts of AI
article

AI Contextual Framework: A Zoning Approach to Ethical AI Deployment

Yao Xie
article en

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?

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(3)
University College Dublin (IE)
Openalex Percentile: Top 71%
Ethics and Social Impacts of AI
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AI Contextual Framework: A Zoning Approach to Ethical AI Deployment — Yao Xie · Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2025) | TGRS Research Map | TGRS