In this episode of AI, Government, and the Future, we are joined by Nathan Manzotti, Director of Data Analytics and AI Centers of Excellence at the General Services Administration (GSA), to discuss the current state and future potential of AI in the federal government. They explore GSA's role in enabling AI adoption across agencies, key initiatives like AI training and communities of practice, and the challenges of attracting AI talent in government. Nathan also shares his insights on the need for collaboration between government, industry, academia, and nonprofits to drive responsible AI innovation.
Nathan oversees GSA's Centers of Excellence program, which provides fee-for-service consulting to federal agencies on data analytics, AI, customer experience, contact centers, and cloud. He shares examples of AI projects, such as an image classification model to grade beef for the USDA.
The discussion delves into the AI landscape across federal agencies, with Nathan describing cycles of excitement and fear as agencies navigate the rapid pace of AI development. He highlights the importance of the recent AI Executive Order in bringing attention to key issues like workforce development, governance, and responsible use.
Nathan also shares his vision for AI communities of practice as connectors between government, industry, academia and nonprofits to facilitate knowledge sharing and drive AI progress. He emphasizes the distinct but complementary roles these groups play in the "machine of collective society."
Throughout the conversation, Nathan offers candid insights on the challenges and opportunities of AI in government, from technical implementation to policy considerations and talent gaps.
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Previous guests include: Jesse Anglen of Rapid Innovation, Maya Sherman of Embassy of Israel In India, Alex Wirth of Quorum, Mfon Apkan of Methodist University, Dr. Eva-Marie Muller-Stuler of Ernst & Young, and Christophe Foulon
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