KakaoBank Introduces Financial Sector's First AI Quality Management Framework

Systematic Management of the Entire AI Service Lifecycle, from Planning to Operation
Accelerating Trust-Based Innovation through Responsible AI

KakaoBank, which has been applying AI most extensively to its services in the financial sector, is now setting a new standard in the area of AI service quality management.

On November 13, KakaoBank announced that it has become the first in the financial industry to independently introduce the 'AI Product Evaluation Framework (AI Framework)', a system that systematically manages the entire process of AI service planning, development, launch, and operation.

The 'AI Framework' is a standard system for AI quality management designed to quantify AI service quality and systematically manage risks. It is applied not only to existing services such as AI search and AI financial calculators currently in operation, but also to all new AI services that will be released in the future.

With this introduction, KakaoBank has further strengthened its 'AI governance' system for managing and supervising AI. This is not limited to simple technology management but is a proactive measure to manage AI risks in advance.

The AI Framework consists of management procedures that cover the entire lifecycle of AI services, including ▲service planning ▲model evaluation ▲functionality testing ▲quality and reliability verification ▲security inspection ▲customer launch ▲operation and improvement.

In particular, to address the characteristic of large language models (LLMs) where answers may vary even to the same question, a quantitative evaluation system has been introduced that quantifies evaluation results and repeatedly verifies them. Through this, KakaoBank aims to preemptively block AI risks such as uncertainty in AI responses, while also enhancing development efficiency and stability.

With the adoption of the AI Framework, KakaoBank has established an internal standard for AI service quality evaluation and verification. Based on this, developers, planners, and operators can now assess the completeness and reliability of services according to the same criteria.

In addition, the results and know-how from AI service evaluations are accumulated and shared internally, and utilized for the development and advancement of new services. KakaoBank is building an AI ecosystem where the entire process of planning, development, operation, and improvement is organically connected, and plans to continue introducing innovative services that customers can trust and use, thereby solidifying its leadership in AI.

KakaoBank stated, "As AI services are rapidly spreading, systematic standards that ensure quality and safety are becoming a new competitive edge in the financial sector. The introduction of this framework is an important starting point for KakaoBank, which is establishing itself as an 'AI-native bank,' to practice responsible AI and set the standard for AI quality management."

This content was produced with the assistance of AI translation services.