Patricia Cogswell brings her extensive experience in homeland and national security to discuss the critical role of AI in addressing mission-critical challenges. With over 28 years of experience spanning the White House, Department of Homeland Security, and Department of Justice, she offers unique insights into the practical implementation of AI solutions in security contexts.
Throughout the conversation, Patricia emphasizes the importance of starting with clear problem statements and use cases before implementing AI solutions. She shares compelling examples from her work in biometric systems and border security, highlighting how public-private partnerships have driven innovation while maintaining security standards. The discussion explores how agencies can balance rapid technological advancement with careful oversight and regulation.
Patricia also addresses crucial considerations around privacy, bias, and civil liberties in AI implementation. She advocates for a measured approach to AI adoption that combines innovation with robust governance frameworks, emphasizing the need for human oversight and clear communication with the public about AI capabilities and limitations.
If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Youtube Podcasts, instructions on how to do this are
here.
Episode Resources:
Tune in here:
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
Check out our Top 3 episodes:
If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest
AI, Government, and the Future is handcrafted by our friends over at: fame.so 
