Law Enforcement and Public Safety (LEAPS) agencies, responsible for complying with laws and protecting public safety, frequently rely on insights and intelligence derived from in-depth analysis of data. Uncovering digital intelligence can be a daunting task due to the scope, depth, and sensitivity of the data collected and reviewed by law enforcement.
To make data analysis more efficient and effective, government agencies are turning to artificial intelligence and machine learning (AI/ML) solutions to extract value from massive datasets in near real time. Doing so will enable us to provide actionable intelligence to first responders when they need it most.
AI technology accelerates the analysis of survey data, identifying and highlighting patterns buried in the masses of digital information. ML tools, on the other hand, use this analysis to draw valuable conclusions and predict what will happen next. These are powerful tools that help law enforcement get their job done. However, as these technologies become more prevalent and more sophisticated, government agencies must be aware and vigilant of adversaries seeking to exploit his AI/ML tools for their own gain.
For use cases applied to law enforcement, AI/ML solutions need to improve the speed and efficiency of first responders in discovering relationships that are impossible given time constraints and limited human resources. I have. So use AI/ML to support threat mitigation, predictive policing, and biometric analytics (DNA, iris, facial recognition, fingerprint search, etc.) to better serve and protect your members can do. His 2022 findings from the University of California’s Violence Prevention Research Program even suggest that ML tools could help identify handgun buyers who are at high risk of suicide.
