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If the use of generative AI in the workplace didn’t seem complicated enough already, just consider what it means for big cities and other governmental agencies.
The implications of common AI problems such as algorithmic bias and attribution of intellectual property are magnified in the public sector, and further complicated by unique challenges such as the retention and production of public records.
Jim Loter, interim chief technology officer for the city of Seattle, grappled with these issues as he and his team produced the city’s first generative AI policy this spring. Loter recently presented on the topic to the U.S. Conference of Mayors annual meeting in Columbus, Ohio, and he joins us to discuss the issue on this episode of the GeekWire Podcast.
With GeekWire co-founder Todd Bishop. Edited and produced by Curt Milton.
See omnystudio.com/listener for privacy information.
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If the use of generative AI in the workplace didn’t seem complicated enough already, just consider what it means for big cities and other governmental agencies.
The implications of common AI problems such as algorithmic bias and attribution of intellectual property are magnified in the public sector, and further complicated by unique challenges such as the retention and production of public records.
Jim Loter, interim chief technology officer for the city of Seattle, grappled with these issues as he and his team produced the city’s first generative AI policy this spring. Loter recently presented on the topic to the U.S. Conference of Mayors annual meeting in Columbus, Ohio, and he joins us to discuss the issue on this episode of the GeekWire Podcast.
With GeekWire co-founder Todd Bishop. Edited and produced by Curt Milton.
See omnystudio.com/listener for privacy information.
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