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In this episode host Professor Stephen Goldsmith interviews Luis Videgaray, director of MIT AI Policy for the World Project, senior lecturer at the MIT Sloan School of Management, and former Foreign Minister and Finance Minister of Mexico. In this captivating discussion they explore the dynamic landscape of AI adoption in cities, from basic applications to transformative processes, why generative tools demand leadership attention, and the best approach to AI procurement. They also propose novel ideas around the role of AI in a bureaucratic organization.
Music credit: Summer-Man by Ketsa
About Data-Smart City Solutions
Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on Twitter.
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In this episode host Professor Stephen Goldsmith interviews Luis Videgaray, director of MIT AI Policy for the World Project, senior lecturer at the MIT Sloan School of Management, and former Foreign Minister and Finance Minister of Mexico. In this captivating discussion they explore the dynamic landscape of AI adoption in cities, from basic applications to transformative processes, why generative tools demand leadership attention, and the best approach to AI procurement. They also propose novel ideas around the role of AI in a bureaucratic organization.
Music credit: Summer-Man by Ketsa
About Data-Smart City Solutions
Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on Twitter.
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