Trusted Artificial Intelligence

Trustworthy AI

Trusted Artificial Intelligence

Trustworthy AI

CTAI Monthly Seminar #1 Speaker: Prof. Haksoo Ko

Global AI Governance Discourse:
Lessons from the UN High-Level Advisory Body on Artificial Intelligence

Trusted Artificial Intelligence

Trustworthy AI

Scroll Down
Achievements
[Symposium] 2026 Center for Trustworthy AI Spring Symposium
  • 2026
[Symposium] Data Privacy: Trends & Insights 2026 (Professor Eun-Ju Lee)
[Roundtable] Stakeholder Consultation on the AI Safety Ecosystem Master Plan (Prof. Eun-Ju Lee)
Group 3
Do We Know How to Implement Rawls’s Liberal Principles of Justice?
Group 2
Knowledge Distillation of Uncertainty using Deep Latent Factor Model
Group 3
Protecting patient privacy in tabular synthetic health data: a regulatory perspective
Group 3
Protecting patient privacy in tabular synthetic health data: a regulatory perspective
Group 3
FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
Board
17
2026.03
SAPI Colloquium 2026-I
20
2026.02
[Dong-A Column] Professor Eun-Ju Lee’s Op-Ed Column
12
2026.02
Data Privacy: Trends & Insights 2026 (Panelist: Professor Eun-Ju Lee)
06
2026.02
Roundtable on the Master Plan for an AI Safety Ecosystem (Prof. Eun-Ju Lee)
06
2026.02
Roundtable for the “National AI Safety Ecosystem Master Plan” (Prof. Eun-Ju Lee)
06
2026.02
Public Consultation Roundtable on the National AI Safety Ecosystem Master Plan (Prof. Eun-Ju Lee)
04
2026.02
2025 Digital Insight Best Content Award (Prof. Eun-Ju Lee)​
19
2025.12
[Aju Press] “Keynote Address at a National Information Society Agency Seminar” (Prof. Hak-soo Ko)
About Center for Trustworthy AI​​​​​​​
The Center for Trustworthy AI (CTAI) is a Convergence Research Center (CRC) engaging in interdisciplinary research that bridges engineering, humanities, and social sciences to enhance the trustworthiness of AI systems.
Who We Are Director’s Greeting 
Our Research
People
Contact us