LLMs in Government: Balancing Innovation and Risk with Dr. Armada Shehu

AI, Government, and the Future

In this insightful episode of AI, Government, and the Future, host Marc Leh engages in a thought-provoking conversation with Dr. Armada Shehu, a distinguished expert in AI and machine learning from George Mason University. Dr. Shehu shares her extensive experience in applying AI to complex real-world problems and offers valuable insights into the integration of AI technologies, particularly large language models (LLMs), within government agencies.

The discussion covers a wide range of topics, from the challenges of data digitization and preparation in government settings to the potential applications of AI in improving efficiency and decision-making processes. Dr. Shehu emphasizes the importance of choosing the right AI tools for specific tasks, cautioning against the overreliance on LLMs when other machine learning approaches might be more suitable.

Throughout the episode, Dr. Shehu provides practical advice for government agencies looking to adopt AI technologies, addressing concerns about data security, privacy, and the need for human oversight. She also explores the potential of AI to enhance government services and combat disinformation, while stressing the importance of responsible AI development and deployment.

Dr. Armada Shehu is a Professor in the Department of Computer Science and the Associate Dean for AI Innovation at George Mason University in Fairfax, Virginia. She also serves as the Associate Vice President of Research for the Institute on Digital Innovation. With over 180 technical papers to her name and multiple prestigious awards, including the National Science Foundation's Career Award, Dr. Shehu has made significant contributions to advancing AI research and its real-world applications.

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• Amarda Shehu on LinkedIn

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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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