Computational law requires a human-centric approach that accounts for the inherent limitations and biases of the human brain. Human cognition operates like a theater, where individuals project internal beliefs onto reality rather than perceiving the world objectively. This atavistic tendency, driven by System 1's rapid, correlation-based processing and System 2's rationalizations, often leads to systemic failures in understanding complex issues like biology or climate change. Computer scientists must shift focus from purely functional interfaces to designing systems that foster exploration and learning. By integrating cultural psychology, causality, and advanced user interface design, technology can better serve as a tool for navigating complex societal challenges. True progress depends on creating platforms that acknowledge the "private universe" of human perception and prioritize the needs of human users over the technical constraints of the machines themselves.
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