How AI-Enabled Surveillance and Predictive Policing Helps Authorities

How AI-Enabled Surveillance and Predictive Policing Helps Authorities

Gov CIO Outlook | Wednesday, July 27, 2022

Cities are leveraging artificial intelligence (AI) to guarantee privacy and basic human rights while ensuring safety and security for their residents.

FREMONT, CA: Although technology is frequently used as a synonym for evolution, its usage may require ethical consideration. The most important issue is privacy, but there are also frequent discussions about AI from other angles, such as how it will affect the economy, jobs, and the future of labor. Therefore, it is impossible to separate recent conversations about the sociological, ethical, and even geopolitical implications from talks about surveillance and predictive policing. AI has recently aided in the development and delivery of novel police services, the connection between police and citizens, the development of trust, and the strengthening of ties with communities. Recently, the rate of AI usage for security objectives has accelerated.

Helps in crime detection

Many cities' police departments are understaffed, making it difficult to assure public safety at all times and places. As the population grows, police forces will find it more challenging to maintain adequate security and crowd control. Law enforcement agencies worldwide can employ AI to assure proper coverage of all areas with only a minor increase in resource requirements. Local governments can also use artificial intelligence to discover behaviors influencing environmental sustainability or public health.

Keeping police and law enforcement officers safe

Technologies such as video surveillance and robotic security systems are utilized to identify and prevent possible attacks. They can prevent crimes from occurring and protect the safety and lives of police personnel.

Reduce health-care expenditures and other security expenses

Cities can cut health-care costs for crime victims. It may result in decreased insurance premiums in high-risk cities and a reduction in the demand for private protection services in some circumstances.

Crime prevention and reduction to make cities more secure

Predictive policing strives to avoid crime and is the most efficient and successful way of keeping communities safe, improving trust and confidence in police services, and shortening response times. For example, police employ predictive models to identify places where robberies are likely to occur and then deploy officers to prevent potential thieves or other criminals.

Improved seamless interconnection 

Cities with security systems scattered across police departments, firefighters, and other agencies or security entities may benefit from AI that can discover complicated patterns and linkages between events in disparate departments, leading to improved incident response times.

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