Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
The AI Evaluability Gap: The Missing Layer for Managing Risk and Sustaining Value
Vishal Srivastava, Tanmay Sah
Organizations deploying AI face two fundamental governance challenges: managing AI risk and sustaining AI value. Both depend on evidence whose sufficiency cannot be taken for grant…
cs.AI2026
Quantifying Automation Risk in High-Automation AI Systems: A Bayesian Framework for Failure Propagation and Optimal Oversight
Vishal Srivastava, Tanmay Sah
Organizations across finance, healthcare, transportation, content moderation, and critical infrastructure are rapidly deploying highly automated AI systems, yet they lack principle…
cs.AI2026
Fundamental Limits of Black-Box Safety Evaluation: Information-Theoretic and Computational Barriers from Latent Context Conditioning
Vishal Srivastava
Black-box safety evaluation of AI systems assumes model behavior on test distributions reliably predicts deployment performance. We formalize and challenge this assumption through…