Half of US residents ‘uncomfortable’ about AI in government: survey – Smart Cities Dive

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Survey respondents see the new technology as a way to increase government efficiency but express concerns about privacy, bias and inaccuracies.
AI adoption in local governments may be outpacing resident trust, according to PayIt. 
A PayIt survey of government agencies in the U.S. and Canada in January found 58% were using AI for resident-facing processes. However, discomfort levels among U.S. residents about AI adoption in government have grown.
Comfort levels differed among age groups, according to PayIt’s survey in June. Comfort levels among Generation Z residents — those born beginning in 1997 — dropped 10% compared with 2024 and 13% among Generation X respondents, who were born from 1965 to 1980. Comfort levels among millennials (1981 to 1996) and baby boomers increased 4% and 2%, respectively.
More than 80% of respondents noted concerns with AI making decisions based on inaccurate results, reducing privacy and making decisions or taking actions based on biased results. A potential loss of public sector jobs and possible environmental harm also topped the list of concerns.
Transparency about AI was a priority for respondents, with more than three-quarters believing state and local governments should be required to disclose when AI is used to provide resident services. “Government leaders have to proactively manage resident trust alongside the technical aspects of AI deployment,” the report states.
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TomTom data shows a significant shift in traffic patterns, with congestion levels dropping considerably across the city, a company expert says.
Similar legal challenges over housing policy and development autonomy are unfolding in California and Massachusetts, potentially reshaping state-local power dynamics.
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TomTom data shows a significant shift in traffic patterns, with congestion levels dropping considerably across the city, a company expert says.
Similar legal challenges over housing policy and development autonomy are unfolding in California and Massachusetts, potentially reshaping state-local power dynamics.
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