Jaehong Kim

** Jaehong Kim is a researcher focusing on the development of the Convergent Fusion Paradigm (CFP) theory

a novel framework that redefines the relationship between data and algorithms through Hilbert space-based abductive reasoning. His work spans causal inference

explainable AI

generative models

and philosophical approaches to AI transparency and accountability. His recent research explores the limitations of distance-based optimization in latent spaces and proposes alternative mathematical formulations to address identifiability

emergence

and generative capacity.

Causal Inference

Generative Models

Latent Space Geometry

Abductive Reasoning

Quantum Computing and AI

Hilbert Space Modeling

Reinforcement Learning

Large Language Models

Law and Artificial Intelligence

GDPR

Deep Learning Philosophical Framework

eXplainable AI

Explainability

Counterfactual Method