7 citations · 8 across the 8 of their papers we have counts for
4 papers · 1 filter
Uncovering Discrimination Clusters: Quantifying and Explaining Systematic Fairness Violations
Ranit Debnath Akash, Ashish Kumar, Verya Monjezi +4
Fairness in algorithmic decision-making is often framed in terms of individual fairness, which requires that similar individuals receive similar outcomes. A system violates individ…
An LLM Agentic Approach for Legal-Critical Software: A Case Study for Tax Prep Software
Sina Gogani-Khiabani, Ashutosh Trivedi, Diptikalyan Saha +1
Large language models (LLMs) show promise for translating natural-language statutes into executable logic, but reliability in legally critical settings remains challenging due to a…
Technical Challenges in Maintaining Tax Prep Software with Large Language Models
Sina Gogani-Khiabani, Varsha Dewangan, Nina Olson +2
As the US tax law evolves to adapt to ever-changing politico-economic realities, tax preparation software plays a significant role in helping taxpayers navigate these complexities.…
Fairness Testing through Extreme Value Theory
Verya Monjezi, Ashutosh Trivedi, Vladik Kreinovich +1
Data-driven software is increasingly being used as a critical component of automated decision-support systems. Since this class of software learns its logic from historical data, i…