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This chapter investigates the foundational traits for establishing AI-driven societies through an analysis of key elements identified by influential philosophers, sociologists, and biologists. These traits, including social cohesionSocial cohesion, authority, shared values, division of laborDivision of labor, and power dynamics, are explored to understand their relevance to AI integration. The framework for the Society of AI-powered things (SoAISociety of AI-powered Things (SoAI)) synthesizes concepts from the Internet of AI Things (IoAITInternet of AI Things (IoAIT)) and Multi-Agent Systems (MASMulti-Agent Systems (MAS)), emphasizing ethical integrationEthical integration and dynamic interaction among AI entitiesAI entitie. The introduction of the UNIFY Protocol and the Society of AIAI society manifesto establishes a robust foundation for AI integration, ensuring transparency, accountability, and ethical conduct. A practical scenario demonstrates the UNIFY Protocol’s efficacy in managing data anomalies within an AI-driven organizational framework, showcasing sustainable AI community development. This methodology unites technical synthesis and cooperative behavior, adding a critical layer of social and ethical considerationsEthical considerations.

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Engineering Society of AI: Philosophical Foundations and Technological Integration

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  • 发表日期：

    2025年

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  • Gulnara Z. Karimova

摘要

This chapter investigates the foundational traits for establishing AI-driven societies through an analysis of key elements identified by influential philosophers, sociologists, and biologists. These traits, including social cohesionSocial cohesion, authority, shared values, division of laborDivision of labor, and power dynamics, are explored to understand their relevance to AI integration. The framework for the Society of AI-powered things (SoAISociety of AI-powered Things (SoAI)) synthesizes concepts from the Internet of AI Things (IoAITInternet of AI Things (IoAIT)) and Multi-Agent Systems (MASMulti-Agent Systems (MAS)), emphasizing ethical integrationEthical integration and dynamic interaction among AI entitiesAI entitie. The introduction of the UNIFY Protocol and the Society of AIAI society manifesto establishes a robust foundation for AI integration, ensuring transparency, accountability, and ethical conduct. A practical scenario demonstrates the UNIFY Protocol’s efficacy in managing data anomalies within an AI-driven organizational framework, showcasing sustainable AI community development. This methodology unites technical synthesis and cooperative behavior, adding a critical layer of social and ethical considerationsEthical considerations.