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Artificial intelligence is quickly becoming part of the tools law enforcement relies on every day – from video analysis to report writing to keyword activations. AI models like speech recognition, natural language processing, visual object detection and tracking, audio and video segmentation and classification automate laborious tasks, pinpoint critical information, improve efficiency and support officer decision-making in both routine and critical situations – enhancing situational awareness and officer safety.
Why it’s important to understand the AI used in your technology
Understanding AI in law enforcement isn’t only about understanding the practical uses on the job. Understanding how AI is designed, tested and applied directly affects legitimacy, trust, fairness and accountability.
Before adopting AI-enabled technology, agencies need to ask the right questions to ensure the tools they use serve the mission of public safety responsibly in a way where agency operational needs and community expectations are aligned.
A good starting question could be about integration, such as “How is AI built into the systems we already use and the ones we are looking to add?” It should elicit an answer that explains the vendor’s approach to AI and how AI supports seamless workflows across its technologies.
What you’ll learn:
- How to assess whether AI tools integrate seamlessly with your existing systems and workflows.
- What to ask about transparency, data ownership and control over AI processes.
- How to evaluate vendors on fairness, bias testing and accountability.
- Why explainability and clear documentation are key to responsible AI adoption.
Download the full list of 10 key questions to ask your technology partner to better understand the AI behind your technology and ensure your agency is choosing solutions that are transparent, trustworthy and built for safer outcomes.