Hybrid Explainability Models
Osonde explores the intersection of traditional expert systems and modern machine learning to enhance explainability in AI models. By proposing a "gray box" approach, he aims to create more interpretable models that can effectively summarize complex black box systems. He also discusses the application of AI in understanding public support for terrorism, emphasizing the importance of structured insights in complex adaptive systems.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192
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