2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.AI2026★ 2 cited
LLM Bias Evaluation: Gender, Racial, and Age Disparities in Occupational and Crime Scenarios
Vishal Mirza, Rahul Kulkarni, Aakanksha Jadhav
LLM bias evaluation is critical as large language models (LLMs) increasingly influence high-stakes decisions. This paper provides a comprehensive assessment of gender, racial, and…
cs.CY2026
Astra: AI Safety, Trust, & Risk Assessment
Pranav Aggarwal, Ananya Basotia, Debayan Gupta +8
This paper argues that existing global AI safety frameworks exhibit contextual blindness towards India's unique socio-technical landscape. With a population of 1.5 billion and a ma…
cs.LG2025
Explainable AI in Big Data Fraud Detection
Ayush Jain, Rahul Kulkarni, Siyi Lin
Big Data has become central to modern applications in finance, insurance, and cybersecurity, enabling machine learning systems to perform large-scale risk assessments and fraud det…