System 0: Transforming Artificial Intelligence into a Cognitive Extension

TL;DR

This paper proposes a comprehensive framework for integrating AI as a genuine cognitive extension that enhances human thinking, addresses associated challenges, and promotes effective human-AI collaboration.

Contribution

It introduces System 0, a novel conceptual framework grounded in cognitive science, for transforming AI into an active partner in human cognition with seven evidence-based integration strategies.

Findings

AI systems can satisfy criteria for cognitive extension including reliability and transparency.

Seven frameworks promote effective, autonomous, and ethically aligned human-AI cognitive integration.

Addressing AI biases and sycophancy is essential for preserving human critical thinking.

Abstract

This paper introduces System 0, a conceptual framework for understanding how artificial intelligence functions as a cognitive extension preceding both intuitive (System 1) and deliberative (System 2) thinking processes. As AI systems increasingly shape the informational substrate upon which human cognition operates, they transform from passive tools into active cognitive partners. Building on the Extended Mind hypothesis and Heersmink's criteria for cognitive extension, we argue that AI systems satisfy key conditions for cognitive integration. These include reliability, trust, transparency, individualization, and the ability to enhance and transform human mental functions. However, AI integration creates a paradox: while expanding cognitive capabilities, it may simultaneously constrain thinking through sycophancy and bias amplification. To address these challenges, we propose seven evidence-based frameworks for effective human-AI cognitive integration: Enhanced Cognitive Scaffolding, which promotes progressive autonomy; Symbiotic Division of Cognitive Labor, strategically allocating tasks based on comparative strengths; Dialectical Cognitive Enhancement, countering AI sycophancy through productive epistemic tension; Agentic Transparency and Control, ensuring users understand and direct AI influence; Expertise Democratization, breaking down knowledge silos; Social-Emotional Augmentation, addressing affective dimensions of cognitive work; and Duration-Optimized Integration, managing the evolving human-AI relationship over time. Together, these frameworks provide a comprehensive approach for harnessing AI as a genuine cognitive extension while preserving human agency, critical thinking, and intellectual growth, transforming AI from a replacement for human cognition into a catalyst for enhanced thinking.