Testing Semantic Importance via Betting
–Neural Information Processing Systems
Providing guarantees on the decision-making processes of autonomous systems, often based on complex black-box machine learning models, is paramount for their safe deployment. This need motivates efforts towards responsible artificial intelligence, which broadly entails questions of reliability, robustness, fairness, and interpretability.
Neural Information Processing Systems
Feb-16-2026, 12:34:08 GMT
- Country:
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Switzerland > Zürich
- Zürich (0.14)
- United Kingdom > England
- Asia
- Middle East > Jordan (0.04)
- Japan > Honshū
- Kantō > Kanagawa Prefecture (0.04)
- Europe
- Genre:
- Overview (0.67)
- Research Report
- Experimental Study (1.00)
- New Finding (0.67)
- Industry:
- Health & Medicine (0.67)
- Transportation > Air (0.34)
- Technology:
- Information Technology > Artificial Intelligence
- Vision (1.00)
- Representation & Reasoning (1.00)
- Natural Language (1.00)
- Issues > Social & Ethical Issues (0.68)
- Machine Learning
- Statistical Learning (1.00)
- Performance Analysis > Accuracy (0.93)
- Information Technology > Artificial Intelligence