Michigan law enforcement is increasingly integrating artificial intelligence (AI) technologies in various surveillance applications, as highlighted by Ron Wiles, executive director of the Michigan Association of Chiefs of Police. A 2025 study from the University of Michigan’s Center for Local, State, and Urban Policy revealed that 26% of police chiefs and sheriffs currently utilize automated license plate readers. Additionally, 10% employ facial recognition, while 3% use predictive policing tools. The report forecasts a rising interest in these technologies, with 40% of law enforcement leaders likely to adopt automated license plates and nearly half (49%) considering facial recognition. Wiles notes AI significantly enhances data analysis, allowing quicker processing of investigative evidence and providing patrol officers with real-time alerts about stolen vehicles or wanted individuals. However, he stresses that AI should complement human efforts, adhering to professional standards to ensure responsible usage. Enhanced security measures through AI can revolutionize public safety while maintaining ethical oversight.
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