Home | HAI Lab @Ewha

Human-centered AI

AI Alignment

Mechanistic Interpretability

Bias & Fairness

Est. 2025 | Ewha Womans University

HAI Lab.

Human-centered Artificial Intelligence Laboratory

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Welcome to the Human-centered Artificial Intelligence Laboratory (HAI Lab.) at Ewha!

HAI Lab is eager to develop AI techniques, systems, and applications for human well-being and improving human society.

NOTICE

We are looking for highly motivated Ph.D. and M.S. students to join our lab. If you are passionate about research and interested in joining our team, please do not hesitate to contact to PI or lab members!

News

2026

Sep

One paper has been accepted to CSCW Workshop. Congrats Minji!

Aug

The paper of predicting intensity of online social support has been published in JMIR!

Jul

The paper of assessment for drug-adverse event causality has been published in JMIR!

May

The paper of predicting network traffic in data centers are accepted to Computer Networks!

Apr

The paper of legal judgement prediction has been accepted to International Conference on Artificial Intelligence and Law (ICAIL) 2026!

Apr

The paper of the Korean Civil Case Dataset for Legal Information Retrieval has been accepted to SIGIR 2026!

2025

Jun

We're hiring a post-doc who will conduct a bias & fairness study for LLMs. Please do not hesitate to contact to PI!

May

The paper of adversarial attack against multi-object trackers has been accepted to IJCAI 2025!

May

The paper of the benchmark dataset for deepfake detection has been accepted to KDD 2025!

Mar

Human-centered AI Lab. has been launched at Ewha Womans University!

Feb

The paper to analyze user experience for AI-based MH Assessment System has been accepted to CHI 2025 (Late Braking Works)!

2024

Dec

The paper to predict binding affinity of drug-protein pairs has been published in Computational Biology and Chemistry.

Dec

The paper of political bias prediction has been accepted to AAAI 2025!

Sep

The paper to detect mental diseases has been accepted to EMNLP 2024!

May

The paper to forecast traffic volumes with meta learning has been accepted to ACM Mobisys 2024!

Apr

The paper to debunk fake news for COVID-19 has been accepted to The WebConf 2024!

2023

Oct

The work of predicting diversification scores of videos on YouTube has been accepted to Elsevier Expert Systems with Applications!

Mar

Our paper to predicting continuity of online threaded conversations has been accepted to Telematics and Informatics. Congratulations Jinhyeon!

Mar

The work of representing binary code with normalization has been published to IEEE Access.

2022

Nov

Our paper to understanding online social support for mental health has been accepted to ACM CSCW! Congratulations Meeyun!

Feb

The paper of developing a fact-checker based on BERT has been accepted in Elsevier Expert Systems with Applications!

2021

Nov

The paper of understanding public perception of energy issue in social networking services has been accepted in Energy Strategy Review.

Oct

The paper of predicting traffic volumes will be presented at IEEE Conference on Consumer Electronics 2022.

Jul

The paper of predicting match winners in Chinese Football League will be presented at icSPORTS.

Jul

The paper of understanding the propagation of COVID-19-related fake news has been accepted in Telematics and Informatics.

2020

Dec

Our paper working on developing a machine learning model to estimate weekly suicide fatalities in real-time has published JAMA Network Open!

Sep

Our paper working on cross-lingual suicidal-oriented word embedding has been accepted to EMNLP Findings!

Research Areas

The main research topics of our group include, but not limited to:

🌻

AI in Mental Health

Co-pilot systems for mental health experts, detection and counseling systems for psychological well-being

📰

AI in Journalism

DeepFake detection, political bias detection and mitigation for trustworthy media

🔬

Computational Social Science

Data mining on diverse areas including networking, security, epidemiology, and medical domains