Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Operationalizing Crisis Detection in Machine Learning
This chapter explores the complexities involved in developing machine learning systems for identifying high-risk behaviors, particularly in the context of suicide crises on social media. It highlights the need for collaboration with clinical experts and affected communities to accurately define crises and navigate the ethical implications of data labeling.
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