2 papers
cs.LG2025★ 1 cited
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim, Oren Wright, David Shriver
One of the main barriers to adoption of Machine Learning (ML) is that ML models can fail unexpectedly. In this work, we aim to provide practitioners a guide to better understand wh…
stat.ML2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Gregory Canal, Vladimir Leung, Philip Sage +2
Artificial intelligence (AI) has revolutionized decision-making processes and systems throughout society and, in particular, has emerged as a significant technology in high-impact…