12 papers
Investigating Associational Biases in Inter-Model Communication of Large Generative Models
Fethiye Irmak Dogan, Yuval Weiss, Kajal Patel +2
Social bias in generative AI can manifest not only as performance disparities but also as associational bias, whereby models learn and reproduce stereotypical associations between…
Who Owns The Robot?: Four Ethical and Socio-technical Questions about Wellbeing Robots in the Real World through Community Engagement
Minja Axelsson, Jiaee Cheong, Rune Nyrup +1
Recent studies indicate that robotic coaches can play a crucial role in promoting wellbeing. However, the real-world deployment of wellbeing robots raises numerous ethical and soci…
FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction
Jiaee Cheong, Abtin Mogharabin, Paul Liang +2
Early efforts on leveraging self-supervised learning (SSL) to improve machine learning (ML) fairness has proven promising. However, such an approach has yet to be explored within a…
Automatic Depression Assessment using Machine Learning: A Comprehensive Survey
Siyang Song, Yupeng Huo, Shiqing Tang +4
Depression is a common mental illness across current human society. Traditional depression assessment relying on inventories and interviews with psychologists frequently suffer fro…
GraphAU-Pain: Graph-based Action Unit Representation for Pain Intensity Estimation
Zhiyu Wang, Yang Liu, Hatice Gunes
Understanding pain-related facial behaviors is essential for digital healthcare in terms of effective monitoring, assisted diagnostics, and treatment planning, particularly for pat…
Gender Fairness of Machine Learning Algorithms for Pain Detection
Dylan Green, Yuting Shang, Jiaee Cheong +2
Automated pain detection through machine learning (ML) and deep learning (DL) algorithms holds significant potential in healthcare, particularly for patients unable to self-report…