3 papers
cs.LG2026
Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems
Biplab Pal, Santanu Bhattacharya, Madanjit Singh
Blind-spot mass is a Good-Turing framework for quantifying deployment coverage risk in machine learning. In modern ML systems, operational state distributions are often heavy-taile…
cs.AI2026
The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
Biplab Pal, Santanu Bhattacharya
Agentic artificial intelligence (AI) in organizations is a sequential decision problem constrained by reliability and oversight cost. When deterministic workflows are replaced by s…
cs.CY2025
The Iceberg Index: Measuring Skills-centered Exposure in the AI Economy
Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador +7
Artificial Intelligence is reshaping America's $9.4 trillion labor market, with cascading effects that extend far beyond visible technology sectors. When AI transforms quality con…