2 citations · 2 across the 4 of their papers we have counts for
4 papers
Preliminary Quantitative Study on Explainability and Trust in AI Systems
Allen Daniel Sunny
Large-scale AI models such as GPT-4 have accelerated the deployment of artificial intelligence across critical domains including law, healthcare, and finance, raising urgent questi…
TangledFeatures: Robust Feature Selection in Highly Correlated Spaces
Allen Daniel Sunny
Feature selection is a fundamental step in model development, shaping both predictive performance and interpretability. Yet, most widely used methods focus on predictive accuracy,…
StructuralDecompose: A Modular Framework for Robust Time Series Decomposition in R
Allen Daniel Sunny
We present StructuralDecompose, an R package for modular and interpretable time series decomposition. Unlike existing approaches that treat decomposition as a monolithic process, S…
Trust in Transparency: How Explainable AI Shapes User Perceptions
Allen Daniel Sunny
This study explores the integration of contextual explanations into AI-powered loan decision systems to enhance trust and usability. While traditional AI systems rely heavily on al…