What question did this study set out to answer?

The aim is to propose a layered model for comprehending the complexities of generative AI.

April 28, 2026Open Access

Understanding AI as a Stack: The 8-Layer Model for Layered AI Systems

Key Points

The aim is to propose a layered model for comprehending the complexities of generative AI.
Developed a conceptual framework for layered AI systems.
Examined interdependencies among different components of AI.
Focused on promoting AI literacy and systems thinking.
Proposed model highlights how higher layers depend on lower layers.
Serves as an orientation for skill mapping and architectural discussions.
Framework is acknowledged as a work in progress to enhance understanding of AI.

Abstract

This working paper proposes the 8-Layer Model of Generative AI, a conceptual framework for understanding AI as a layered stack of interdependent components spanning infrastructure, data, model intelligence, knowledge enrichment, reasoning, creativity, interaction and governance. The framework is intended as an orientation model for AI literacy, systems thinking, skill mapping and architectural discussion. A central assumption of the model is that capabilities and disruptions observed at higher layers may depend on conditions established in lower layers. This work is presented as a conceptual framework contribution under active development.

Understanding AI as a Stack: The 8-Layer Model for Layered AI Systems

Key Points

Abstract

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