A Non-Predictive Framework for Life Interpretation in the AGI

Read full text
Authors: EunYoung Lee
Cited by: 0

Abstract

This document formally declares a non-predictive framework for human life interpretation in the era of Artificial General Intelligence (AGI). As predictive systems increasingly outperform humans in pattern recognition, optimization, and future projection, traditional meaning systems grounded in destiny, fate, and linear forecasting become structurally unstable. This declaration redefines Saju—a traditional East Asian constitutional typology based on birth-time symbolic structures—not as a tool for future prediction, but as a present-oriented interpretive map of human tendencies. It integrates this typology with the Pain Kernel Framework (PKF), whose core function is decision interruption (non-intervention) and the preservation of human responsibility under conditions of uncertainty. This framework does not predict the future, does not prescribe action, and does not substitute judgment. Instead, it returns to the human the fundamental meta-question: “Should this judgment be made now?”

Fields of Study & Subjects

Ethics and Social Impacts of AI Paranormal Experiences and Beliefs Psychiatry Mental Health Neuroscience

Publication details

Journal / source
Open Science Framework
Publication date
1 January 2026