Ethical Machine Learning
Irene emphasizes the importance of integrating ethics and equity considerations throughout the entire machine learning pipeline in healthcare. She discusses how bias can be introduced at various stages, from data collection to algorithm deployment. By addressing these issues early on, especially in sensitive areas like domestic violence risk assessment, we can develop more inclusive and effective solutions for all patient populations.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
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