South Korea

The purpose of the Law is to establish a framework for the sound development of AI and the creation of a foundation of trust.  The Law includes requirements for AI business operators, addresses AI ethics, establishes a National AI Committee, and authorizes the Minster of Science and ICT to issue regulations as well as to implement a “basic plan” for AI.

The Act establishes operating conditions for outdoor mobile robots used in sectors such as delivery and surveillance. The purpose is to maintain safety standards while supporting the commercial application of AI technologies.

The guidance clarifies the use of publicly available data to help train AI models. It discusses the legal standards for data collection and use toward AI training and outlines minimum standards for appropriate safety measures that could be applied depending on the type of business or AI deployment.

The self-checklist issued by the Personal Information Protection Committee (PIPC) aims to enhance awareness of persons participating in AI development and operation and can be seen as a guideline. Referring to the personal information protection principles in the Personal Information Protection Act, the privacy by design principle as well as ethical standards, the PIPC outlines the six main principles of AI-related personal information protection. These include legitimacy, safety, transparency, participation, responsibility, and fairness. Additionally, the PIPC outlines in the self-checklist a legitimate personal information processing flowchart.

A verification system issued by the Financial Services Commission for AI-driven credit scoring model and a security guideline for the use of AI in the financial sector. The AI verification system determines whether credit bureaus have made a reasonable selection for algorithms and variables used in their credit scoring models and whether the credit scoring models are statistically significant. The security guideline identifies security issues that should be considered when developing an AI-based model and provides a security checklist for AI chatbots, including suggestions on the data management and processing method and model designing technique and security verification method for countering specific security threats such as contamination of data, personal information leak or attack on AI models.