Critique of Agent Model

Short summary

Researchers distinguish 'agentic' systems (engineered workflows) from 'agentive' systems (autonomously-capable), proposing the Goal-Identity-Configurator (GIC) architecture where genuine agency requires internalized goal, identity, decision-making, self-regulation, and learning structures rather than external scaffolding. The framework addresses auditability, controllability, and safety considerations for autonomous AI systems operating under human oversight.

• •Clarifies theoretical boundary between automation and agency in AI systems
• •Proposes GIC architecture combining hierarchical goals, identity evolution, and self-directed learning
• •Grounds agentic autonomy in safety, auditability, and human oversight

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