376 citations · 1.2k across the 40 of their papers we have counts for
42 papers
A Comparative Study of Reference Reliability in Multiple Language Editions of Wikipedia
Aitolkyn Baigutanova, Diego Saez-Trumper, Miriam Redi +2
Information presented in Wikipedia articles must be attributable to reliable published sources in the form of references. This study examines over 5 million Wikipedia articles to a…
Quantitative Analysis of Cultural Dynamics Seen from an Event-based Social Network
Bayu Adhi Tama, Jaehong Kim, Jaehyuk Park +2
Culture is a collection of connected and potentially interactive patterns that characterize a social group or a passed-on idea that people acquire as members of society. While offl…
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration
Hwaran Lee, Seokhee Hong, Joonsuk Park +10
The potential social harms that large language models pose, such as generating offensive content and reinforcing biases, are steeply rising. Existing works focus on coping with thi…
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha
Artificial intelligence (AI) systems can cause harm to people. This research examines how individuals react to such harm through the lens of blame. Building upon research suggestin…
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
Sungwon Han, Seungeon Lee, Fangzhao Wu +5
Algorithmic fairness has become an important machine learning problem, especially for mission-critical Web applications. This work presents a self-supervised model, called DualFair…
Longitudinal Assessment of Reference Quality on Wikipedia
Aitolkyn Baigutanova, Jaehyeon Myung, Diego Saez-Trumper +4
Wikipedia plays a crucial role in the integrity of the Web. This work analyzes the reliability of this global encyclopedia through the lens of its references. We operationalize the…
Detecting Contextomized Quotes in News Headlines by Contrastive Learning
Seonyeong Song, Hyeonho Song, Kunwoo Park +2
Quotes are critical for establishing credibility in news articles. A direct quote enclosed in quotation marks has a strong visual appeal and is a sign of a reliable citation. Unfor…
Self-explaining deep models with logic rule reasoning
Seungeon Lee, Xiting Wang, Sungwon Han +3
We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By "human precis…
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
Sungwon Han, Sungwon Park, Fangzhao Wu +4
This paper presents FedX, an unsupervised federated learning framework. Our model learns unbiased representation from decentralized and heterogeneous local data. It employs a two-s…
Prediction of Football Player Value using Bayesian Ensemble Approach
Hansoo Lee, Bayu Adhi Tama, Meeyoung Cha
The transfer fees of sports players have become astronomical. This is because bringing players of great future value to the club is essential for their survival. We present a case…
The Conflict Between Explainable and Accountable Decision-Making Algorithms
Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong +1
Decision-making algorithms are being used in important decisions, such as who should be enrolled in health care programs and be hired. Even though these systems are currently deplo…
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
Sungwon Park, Sungwon Han, Donghyun Ahn +8
High-resolution daytime satellite imagery has become a promising source to study economic activities. These images display detailed terrain over large areas and allow zooming into…
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge of the changing traffic is critical in risk management. Customs offices worldwide have traditionally relied on local resources to accumulate knowledge and detect tax frau…
Classification of Goods Using Text Descriptions With Sentences Retrieval
Eunji Lee, Sundong Kim, Sihyun Kim +8
The task of assigning and validating internationally accepted commodity code (HS code) to traded goods is one of the critical functions at the customs office. This decision is cruc…
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks
Suyoung Lee, Wonho Song, Suman Jana +2
Trigger set-based watermarking schemes have gained emerging attention as they provide a means to prove ownership for deep neural network model owners. In this paper, we argue that…
Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic
Karandeep Singh, Gabriel Lima, Meeyoung Cha +4
The COVID-19 pandemic has been damaging to the lives of people all around the world. Accompanied by the pandemic is an infodemic, an abundant and uncontrolled spreading of potentia…
Elsa: Energy-based learning for semi-supervised anomaly detection
Sungwon Han, Hyeonho Song, Seungeon Lee +2
Anomaly detection aims at identifying deviant instances from the normal data distribution. Many advances have been made in the field, including the innovative use of unsupervised c…
Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making
Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha
How to attribute responsibility for autonomous artificial intelligence (AI) systems' actions has been widely debated across the humanities and social science disciplines. This work…
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
Gabriel Lima, Meeyoung Cha
There is a growing need for data-driven research efforts on how the public perceives the ethical, moral, and legal issues of autonomous AI systems. The current debate on the respon…
Urban green space and happiness in developed countries
Oh-Hyun Kwon, Inho Hong, Jeasurk Yang +3
Urban green space has been regarded as contributing to citizen happiness by promoting physical and mental health. However, how urban green space and happiness are related across ma…
Improving Unsupervised Image Clustering With Robust Learning
Sungwon Park, Sungwon Han, Sundong Kim +4
Unsupervised image clustering methods often introduce alternative objectives to indirectly train the model and are subject to faulty predictions and overconfident results. To overc…
Disruption in the Chinese E-Commerce During COVID-19
Yuan Yuan, Muzhi Guan, Zhilun Zhou +4
The recent outbreak of the novel coronavirus (COVID-19) has infected millions of citizens worldwide and claimed many lives. This paper examines its impact on the Chinese e-commerce…
Active Learning for Human-in-the-Loop Customs Inspection
Sundong Kim, Tung-Duong Mai, Sungwon Han +5
We study the human-in-the-loop customs inspection scenario, where an AI-assisted algorithm supports customs officers by recommending a set of imported goods to be inspected. If the…
Collecting the Public Perception of AI and Robot Rights
Gabriel Lima, Changyeon Kim, Seungho Ryu +2
Whether to give rights to artificial intelligence (AI) and robots has been a sensitive topic since the European Parliament proposed advanced robots could be granted "electronic per…