The Fair Trade Commission said on the 15th that it has formed an "AI work-innovation task force" to introduce artificial intelligence (AI) across its core functions, including handling complaints and cases.
The AI work-innovation task force will add a Fair Trade Commission terminology dictionary feature to the AI translator (translating 29 languages) that is in service on the work network. It will also develop AI-based searches for similar decisions and precedents, with the goal of launching the service next year.
Selected as an interagency collaboration project led by the Ministry of Science and ICT, the "AI-convergence terms review platform" and the "platform to support fair subcontracting contracts," which are under development, are slated to open at the end of next year.
The "efficiency improvement of complaint receipt and processing" and the "advancement of AI-based case handling," which are expected to require large-scale computing resources and significant development costs, will proceed after systematic planning, including establishing an informatization strategy plan.
The AI work-innovation task force will be established within the Office of the Director for ICT Management under the Director General for Planning and Coordination and will consist of seven people, including existing data team staff of the Office of the Director for ICT Management and newly appointed personnel.
The AI work-innovation task force will be responsible for: ▲ discovering and planning AI innovation projects and drawing up budgets, ▲ preparing AI legal and ethics guidelines, ▲ collecting and managing the quality of AI training data, ▲ operating and maintaining AI services, and ▲ managing AI model and data security.
The Fair Trade Commission said, "With the launch of a dedicated AI work-innovation organization, we will be able to kick-start AI-based administrative innovation," adding, "It will improve the speed and accuracy of our work, and help us detect unfair signals in the market early, serving as an opportunity to lay the foundation for preventive law enforcement."