Governing AI That Keeps Evolving With Maryam Ashoori (VP of Product and Engineering at IBM watsonx.governance)
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Governing AI That Keeps Evolving With Maryam Ashoori (VP of Product and Engineering at IBM watsonx.governance)
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In this episode of AI Explained, we are joined by Maryam Ashoori, PhD, VP of Product and Engineering for watsonx.governance at IBM, where she leads the teams building IBM's platform for governing AI models and agents across the enterprise. Before this role she headed product for watsonx.ai, led engineering for Lyft's bikes and scooters operations, and spent six years at IBM Research working on emerging technologies including AI and quantum computing.
Maryam breaks governance down into three foundations — visibility, control, and accountability — and explains why enterprises can only govern the AI they can see while shadow AI keeps agents and models out of view. She and Krishna dig into what an AI control plane should actually do (define, implement, enforce, and track controls), why accountability is the top challenge enterprises cite as agent adoption scales, and how third-party risk, business continuity, and an evolving regulatory landscape are reshaping what "in control" means. They close with a rapid-fire round covering copilots vs. autonomous agents, frontier vs. small models, and the one AI belief Maryam has changed her mind about.