5 citations · 12 across the 6 of their papers we have counts for
6 papers
User Acceptance of Gender Stereotypes in Automated Career Recommendations
Clarice Wang, Kathryn Wang, Andrew Bian +4
Currently, there is a surge of interest in fair Artificial Intelligence (AI) and Machine Learning (ML) research which aims to mitigate discriminatory bias in AI algorithms, e.g. al…
Fair Representation Learning for Heterogeneous Information Networks
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya +3
Recently, much attention has been paid to the societal impact of AI, especially concerns regarding its fairness. A growing body of research has identified unfair AI systems and pro…
Equitable Allocation of Healthcare Resources with Fair Cox Models
Kamrun Naher Keya, Rashidul Islam, Shimei Pan +2
Healthcare programs such as Medicaid provide crucial services to vulnerable populations, but due to limited resources, many of the individuals who need these services the most lang…
Neural Fair Collaborative Filtering
Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng +2
A growing proportion of human interactions are digitized on social media platforms and subjected to algorithmic decision-making, and it has become increasingly important to ensure…
Neural Embedding Allocation: Distributed Representations of Topic Models
Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds
Word embedding models such as the skip-gram learn vector representations of words' semantic relationships, and document embedding models learn similar representations for documents…
Bayesian Modeling of Intersectional Fairness: The Variance of Bias
James Foulds, Rashidul Islam, Kamrun Keya +1
Intersectionality is a framework that analyzes how interlocking systems of power and oppression affect individuals along overlapping dimensions including race, gender, sexual orien…