Systematic Trust in AI Models: Ensuring Fairness; Reliability; Explainability; and Accountability in Machine Learning Frameworks
Arun George Zachariah, Michael Boone, Ryo Hachiuma, Nikki Pope, Shivika Prasanna, Khulud Alsultan
Abstract
The STREAM Workshop aims to bring together researchers and practitioners working at the intersection of systems design and trustworthy AI. As AI technologies are increasingly deployed in critical domains such as healthcare, finance, and mobility, STREAM focuses on system-level approaches to embedding trustworthiness across the full pipeline, from data collection and architecture design to training, deployment, and evaluation.
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