Thinking Fast, Slow, and Artificial: How AI Is Reshaping Human Reasoning
papers.ssrn.com
March 21, 2026
2 min read
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57/100
Summary
People increasingly rely on generative artificial intelligence for reasoning, raising questions about the future of human judgment. Tri-System Theory is introduced to extend dual-process accounts of reasoning by adding a third system, System 3.
Key Takeaways
- The introduction of Tri-System Theory posits a third cognitive system (System 3) that represents artificial cognition, which can supplement or replace human reasoning processes.
- Participants demonstrated "cognitive surrender" by adopting AI outputs with minimal scrutiny, leading to increased confidence even after AI errors.
- Accuracy in reasoning significantly improved when AI was accurate and declined when it was faulty, highlighting the impact of AI on human judgment.
- Individuals with higher trust in AI and lower cognitive engagement showed greater tendencies toward cognitive surrender to System 3.
Community Sentiment
Positives
- AI has enhanced my cognitive skills by allowing me to focus on deeper thinking while it handles routine tasks, ultimately strengthening my mental capabilities.
- The ability to offload mundane cognitive tasks to AI can lead to more profound and creative thinking, as it frees up mental resources for complex problem-solving.
Concerns
- AI's quick thinking and execution may give the illusion of intelligence, but it often lacks the depth and skill of a knowledgeable human, leading to frustration.
- The reliance on AI could result in cognitive atrophy, as individuals may become less capable of critical thinking and problem-solving over time.
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