Multimodal AI Challenges
The conversation explores the potential of multimodal AI technologies, particularly in identifying harmful content like child pornography. Matar highlights the complexity of context in image analysis, emphasizing that both visual and textual elements are crucial for accurate detection. As elections approach, he warns of the heightened risk of political disinformation, noting that advanced language models lower the barrier for malicious actors while also offering opportunities for positive applications.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
683: Contextual A.I. for Adapting to Adversaries — with Dr. Matar Haller
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