Private Certification for “AI Reliability” Launched… First Issuance Expected as Early as December

Think4BL Officially Registers Korea’s First Private Certification for AI Reliability Experts

Certified Trustworthy AI Professional (CTAP), General Level (FL)
Eligible Candidates to Advance to the 1st Triton Qualifying Round

For the first time in Korea, a private certification for professionals specializing in AI reliability has been established.

Think4BL, a company specializing in artificial intelligence (AI) reliability technologies, announced on the 1st that it officially registered its private certification for AI reliability experts with the Korea Research Institute for Vocational Education and Training (KRIVET) last month. The company has completed all required administrative procedures, including payment of registration and licensing taxes, and finalized preparations for operating the qualification process and issuing certificates.

The certification, formally registered as Certified Trustworthy AI Professional (CTAP), can be obtained through the General Level (FL) qualification process and examination.

CTAP-certified professionals are recognized as experts with a precise understanding of explainable and controllable AI design, as well as responsible operation and deployment. This includes governance framework–based risk management and data quality management required to build trustworthy AI in compliance with ethical and legal standards.

Think4BL, which operates and manages the certification, plans to grant the qualification externally for the first time to participants who pass the preliminary round of the 1st Triton competition, which opened in October.

The company noted that the concept of “reliability” is particularly meaningful at a time when the term is used inconsistently across industries—often conflated with security, safety, quality, or testing—by providing practical indicators that companies can apply to real-world reliability practices.

It also emphasized the high value of the certification in formally recognizing professionals in related fields, as the core principle of AI reliability lies in ensuring that AI systems adhere faithfully to established rules at each stage of development so they operate safely and in compliance with ethical and legal requirements.

Along with the formal registration, Think4BL outlined its certification operation plan. In the initial phase, the company will operate and manage the qualification independently. As demand expands, it plans to pursue joint operation with external associations and organizations, as well as establish affiliated bodies such as a Korea Education Center or a Korea Certification Institute.

Think4BL is also seeking global expansion in cooperation with the Trusted AI International Network (TRAIN) and aims to develop the certification into an internationally standardized competency evaluation model.

In October, Think4BL presented the related proposal at the ISO/IEC JTC 1/SC 42 (Artificial Intelligence) General Assembly held in Sydney, Australia, where it received broad support from national representatives in attendance.

Park Ji-hwan, CEO of Think4BL, stated, “If participants in the ongoing Triton competition complete the qualification process, nearly 200 AI reliability experts officially recognized for the first time in Korea will be produced,” adding that “as many companies have already expressed interest in hiring certified professionals, the number of qualified experts is expected to grow further.”

He also noted, “By defining a clear role model called an ‘AI reliability expert,’ students will be able to design and prepare their careers systematically. As job disruption accelerates across industries—such as developers being displaced after creating AI—the role of controlling and supervising AI will emerge as a promising career path for humans in the future.”

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