1 citations · 2 across the 2 of their papers we have counts for
3 papers
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI
Kishore Sampath, Pratheesh, Ayaazuddin Mohammad +1
Multimodal learning, which integrates diverse data sources such as images, text, and structured data, has proven superior to unimodal counterparts in high-stakes decision-making. H…
Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models
Shiran Dudy, Thulasi Tholeti, Resmi Ramachandranpillai +3
Recent advancements in Large Language Models (LLMs) have made them a popular information-seeking tool among end users. However, the statistical training methods for LLMs have raise…
Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions
Resmi Ramachandranpillai, Kishore Sampath, Ayaazuddin Mohammad +1
Biases in automated clinical decision-making using Electronic Healthcare Records (EHR) impose significant disparities in patient care and treatment outcomes. Conventional approache…