683: Contextual A.I. for Adapting to Adversaries, with Dr. Matar Haller
Super Data Science: ML & AI Podcast with Jon Krohn
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Adversarial Behavior Detection and Content Moderation in Machine Learning Models
The chapter delves into the complexities of building machine learning models to detect and combat adversarial behavior in content moderation. It emphasizes the importance of subject matter experts like intelligence analysts and a proprietary database of harmful content to stay robust against manipulations. The discussion also touches on the challenges of moderating harmful content in real time on social media platforms by considering not just the content itself but also the context and indicators of risk.
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