In this episode of AI-in-Gov: Inside the Black Box, hosts Richard Jacik and Amarda Shehu sit down with Catalina Gonzalez Duenas to explore how AI is being applied to real-world challenges like infrastructure resilience and disaster response. Catalina shares how her work uses probabilistic modeling and AI to better understand and predict the impacts of extreme events, and why data, uncertainty, and human behavior all play a critical role in decision-making. The conversation also examines where AI is making meaningful progress, where it still falls short, and what it takes to translate technical insights into practical action—from FEMA and resource allocation to broader questions of trust, responsibility, and adoption.
To connect with Catalina, follow her on LinkedIn here.
Connect with host Amarda Shehu on LinkedIn here.
Connect with host Richard Jacik on LinkedIn here.
For more information about the GMU AI-in-Gov Council, follow them on LinkedIn here.
This episode is sponsored by Brillient.
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