Explainable artificial intelligence (XAI), a technology that can explain 'why' an artificial intelligence (AI) made a decision, is rapidly being put to practical use in actual industrial settings. At the center of this is 'iNEEji', a research institute founded by Professor Jaesik Choi(47), the head of the KAIST Explainable Artificial Intelligence Research Center. Professor Choi explained the company name INEEJI, saying, "It contains the philosophy that artificial intelligence should benefit humans."

INEEJI, an artificial intelligence (AI) technology company, recently supplied an AI prediction system to KG Steel, a steel affiliate of KG Group. This system has proven its applicability in actual industrial sites as a technology that predicts the physical properties of steel plates after heat treatment or automatically controls the optimal temperature during the heat treatment process.

The effect of introduction is also confirmed by energy saving figures. After INEEJI’s technology was applied, city gas (LNG) usage decreased by 2.79㎥ per minute, and when calculated based on the calorific value (10,190㎉) per liter of city gas, it was found that approximately 1.46 million㎥ (1,466,424㎥) and 149.3 TOE (tons of oil equivalent) of energy were saved annually.

In an industry like steel where processes are complex and quality deviations are major variables, it is innovative that AI can interpret data in real time and explain the basis for judgment. It is significant in that it has lowered the defect rate and secured quality stability through ‘explanatory AI’ that can be directly understood and utilized by process managers on site, going beyond a simple prediction model.