At TRAIN Seminar, Genesislab CAIO Shares HR AI Data Governance Case
At the 2nd TRAIN seminar, Genesislab CAIO Yoo Dae-hoon shared the company's data-governance case for addressing transparency, non-bias, and explainability in HR AI. Genesislab also participated as a partner institution for the session.
Source: KOIT / Korea Information Technology News (정보통신신문) — TRAIN Emphasizes the Importance of Data Governance in the AI Era Original in Korean
KOIT covered the 2nd TRAIN regular seminar on October 30 at Entrevelle in Seoul’s Gangnam district. TRAIN — the international coalition for trustworthy AI — organized the session under the theme “Why Data Governance Matters More Than Anything.”
Yoo Dae-hoon, CAIO at Genesislab, presented “how we addressed transparency, non-bias, and explainability for AI-based HR solutions through data governance.” The talk was framed as a case study: the company’s own diagnosis of the problem and the concrete path it took to resolve it.
Other speakers included Professor Yoon Geon (Hanshin University, Department of Public Talent and Big-Data Convergence), Cheon Seon-il (Senior Researcher, AI Trustworthiness, ThinkforBL), and Apipatamrong Piyatum (Senior Researcher, AI Research Unit, NSTDA/NECTEC, Thailand). Genesislab also participated as a partner institution for the seminar.
The full presentation and the seminar’s conclusions are available in the original article.
