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Without good data state and local governments risk making artificial intelligence tools “stupid, "merely a conduit for “garbage in, garbage out.”
But to have good quality data, the public workforce needs good data literacy skills. As governments continue to churn out policies, guidelines and best practices for AI’s use in government, training and upskilling the workforce will be just as crucial.
Among technology skills, the ability to efficiently use AI tools now exceeds computer programming by humans, networks and cybersecurity skills, general technological literacy skills, and design and user experience by some margin.
The forum, in particular, found that the public sector lags far behind other sectors of the economy, both in its plans to adopt AI technologies and to prioritize training in AI and big data.
Gettingemployees more confident in using AI tools is important because the lines between IT and business continue to blur.
Reports that the use of AI by police departments has led to false arrests is also prompting questions by some about the new technology.
Despite the concerns, Armando Aguilar, the Miami assistant police chief, said AI has helped his city become “safer today than in any other time in our history.” The department, Aguilar told senators, uses AI in a number of ways, including facial recognition, reading license plates, monitoring potential threats on social media and using ballistic evidence to “connect the shots” between shootings.
Aguilar also cited a Florida International University study that said detectives have a 66% greater chance of finding suspects in violent crimes when using the technology. Before AI, he said, the police department was only able to arrest suspects in 45% of murders and less than 38% of violent crimes. However, after it started using the technology in 2023, it solved 68% of themurders that occurred that year and 58% of the violent crimes.
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