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<p>The emergence of agentic artificial intelligence systems capable of initiating actions, coordinating tasks, and operating under delegated autonomy raises foundational questions in AI ethics and philosophy of technology. Existing approaches often oscillate between instrumental views that treat AI as neutral tools and speculative accounts that attribute moral agency to artificial systems. Both overlook a more consequential shift: the reconfiguration of human agency and responsibility within hybrid sociotechnical systems. Drawing on philosophy of technology and science and technology studies, this paper develops a governance-oriented framework for human–AI co-agency. Agency is conceptualized as an emergent property of structured interactions among human intentions, AI systems, and institutional contexts rather than a property of isolated actors. The framework specifies four analytical dimensions—initiative, decision scope, oversight, and responsibility attribution—through which delegation and accountability can be systematically evaluated. By clarifying how responsibility remains human and institutional under conditions of delegated autonomy, the paper offers an analytically precise and normatively actionable model for identifying responsibility gaps and structuring governance in increasingly agentic AI deployments.</p>

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From assistants to agents: a relational framework for human–AI co-agency

  • 期刊论文

  • 发表日期：

    2026年5月3日

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  • Mohamed Salim Ali

摘要

The emergence of agentic artificial intelligence systems capable of initiating actions, coordinating tasks, and operating under delegated autonomy raises foundational questions in AI ethics and philosophy of technology. Existing approaches often oscillate between instrumental views that treat AI as neutral tools and speculative accounts that attribute moral agency to artificial systems. Both overlook a more consequential shift: the reconfiguration of human agency and responsibility within hybrid sociotechnical systems. Drawing on philosophy of technology and science and technology studies, this paper develops a governance-oriented framework for human–AI co-agency. Agency is conceptualized as an emergent property of structured interactions among human intentions, AI systems, and institutional contexts rather than a property of isolated actors. The framework specifies four analytical dimensions—initiative, decision scope, oversight, and responsibility attribution—through which delegation and accountability can be systematically evaluated. By clarifying how responsibility remains human and institutional under conditions of delegated autonomy, the paper offers an analytically precise and normatively actionable model for identifying responsibility gaps and structuring governance in increasingly agentic AI deployments.