AI public safety investment to grow to $71B by 2030 to ‘predict crime, natural disasters’: study

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Public safety investments are predicted to jump from $9.3 billion in 2022 to $71 billion by 2030 to combat terrorism and crime while beefing up cybersecurity.

"In a crisis, every second counts, and AI can help first responders respond faster and more efficiently," the study says."For example, AI-powered drones can assess the damage caused by natural disasters, such as hurricanes or earthquakes and provide real-time information to emergency response teams."That assessment is vital when allocating resources and prioritizing response efforts.

Powerful AI algorithms can even predict and prevent disasters by"analyzing vast amounts of data, such as weather patterns, geological activity, and infrastructure conditions, to identify potential risks and vulnerabilities," according to the study."Public safety officials can then use this information to implement preventative measures, such as strengthening infrastructure, evacuating residents or deploying resources before a disaster," according to the study.

The researchers said AI-powered security cameras and video analytics can be used in preventive policing, criminal investigations, cold-case investigations and combating terrorism, among dozens of other uses."Artificial intelligence enables organizations to address public safety concerns with innovative solutions," the report says.

"From strengthening airport security and fighting crime to predicting natural disasters and tracking dangerous viruses, artificial intelligence is one of the keys to improving public safety today."says this technology may have prevented the deadly terrorist attack by"learning from normal activity" to notify operators of"approaching threats and anomalies."

Now-retired Boston Police Commissioner Edward Davis III testifies on Capitol Hill, July 10, 2013, before the Senate Homeland Security and Governmental Affairs Committee hearing to review the lessons learned from the Boston Marathon bombings.

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