28 min
#83 - City AI Connect: Risk vs. Opportunity in Government AI GovEx Data Points
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- Ciência política
--- In this episode, we discuss City AI Connect, a global learning community and digital platform for cities to trial and advance the usage of generative artificial intelligence to improve public services.--- Generative AI, powered by advanced machine learning algorithms, has the potential to analyze vast amounts of data to predict trends, helping cities improve emergency response, mitigate severe weather events, and target resources for infrastructure enhancements. The technologies might also be harnessed to design creative solutions that could transform government delivery by reducing processing delays, eliminating cumbersome paperwork, and expanding multi-language access to reach many more residents with vital, public services.--- To maximize the potential and expand the availability of generative artificial intelligence learning for local governments, City AI Connect might offer locals officials a single destination to ideate, develop, and test new utilizations with peers across cities. Through social networking features, digital forums, virtual events, and a repository of blueprints and resources, city leaders might have the opportunity to exchange strategies and work with data and technology experts brought together by Bloomberg Philanthropies and the Center for Government Excellence at Johns Hopkins University to accelerate implementation in their city halls.--- We're joined by Beth Blauer, Associate Vice Provost for Public Sector Innovation at Johns Hopkins University and the founder of GovEx; Mary Conway Vaughan, Deputy Director of Research and Analytics at GovEx; and Denise Reidl, the Chief Innovation Officer for the City of South Bend, Indiana.--- City AI Connect (https://cityaiconnect.jhu.edu/)--- "Gen AI: Get Ready!" Webinar (City AI Connect Members Only) (https://app.civicroundtable.com/community/1695044240027x694032557499220000?tab=Feed&post=1706731625981x630604869877366800)--- Fill out our listener survey! (https://govex.jhu.edu/data-points/)
--- In this episode, we discuss City AI Connect, a global learning community and digital platform for cities to trial and advance the usage of generative artificial intelligence to improve public services.--- Generative AI, powered by advanced machine learning algorithms, has the potential to analyze vast amounts of data to predict trends, helping cities improve emergency response, mitigate severe weather events, and target resources for infrastructure enhancements. The technologies might also be harnessed to design creative solutions that could transform government delivery by reducing processing delays, eliminating cumbersome paperwork, and expanding multi-language access to reach many more residents with vital, public services.--- To maximize the potential and expand the availability of generative artificial intelligence learning for local governments, City AI Connect might offer locals officials a single destination to ideate, develop, and test new utilizations with peers across cities. Through social networking features, digital forums, virtual events, and a repository of blueprints and resources, city leaders might have the opportunity to exchange strategies and work with data and technology experts brought together by Bloomberg Philanthropies and the Center for Government Excellence at Johns Hopkins University to accelerate implementation in their city halls.--- We're joined by Beth Blauer, Associate Vice Provost for Public Sector Innovation at Johns Hopkins University and the founder of GovEx; Mary Conway Vaughan, Deputy Director of Research and Analytics at GovEx; and Denise Reidl, the Chief Innovation Officer for the City of South Bend, Indiana.--- City AI Connect (https://cityaiconnect.jhu.edu/)--- "Gen AI: Get Ready!" Webinar (City AI Connect Members Only) (https://app.civicroundtable.com/community/1695044240027x694032557499220000?tab=Feed&post=1706731625981x630604869877366800)--- Fill out our listener survey! (https://govex.jhu.edu/data-points/)
28 min
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