Public safety roundup: December 2, 2024
Welcome to the latest edition of our public safety roundup! Here you'll find all of our most recent public safety content, so you won't have to worry about missing a thing.
AI has changed the world of law enforcement
By Nick Chorley , for Crit Comms Network
Since the inception of professional policing 200 years ago, the basics didn’t change much. Observation, intuition and critical thinking skills combined with courage and strict adherence to the law have served police forces well.
Then disruptive technology came along to move things forward by leaps and bounds. Radios were a giant leap in the 1930s-40s, then computers pushed policing solidly into the high-tech realm in the 70s-80s. Today, the disruptive technology is artificial intelligence.
As with most technological leaps, AI comes with both powerful possibilities and a healthy dose of skepticism. In policing, predictive AI has drawn the most criticism, and the use of AI for facial recognition is also a source of controversy. As useful as these technologies can be, they are also rife with potential bias and privacy concerns and must be constantly evaluated and overseen.
Does that mean that AI has no place in policing? Absolutely not. If police forces use AI in an assistive manner, it can be a major force multiplier for police battling staff shortages and trying to keep one step ahead of the criminal’s unfettered use of data and technology.
Take a look inside any emergency communications center and you’ll find call takers and dispatchers scrambling to keep up with the volume of calls for service and incoming data from cameras, sensors and citizen’s mobile phones.
So being able to analyze large volumes of incident data and connect the dots needed to respond appropriately to a complex emergency incident is a difficult proposition, given the already heavy workload and pressures they face daily.
If a computer-aided dispatch system is equipped with assistive AI, the AI can sift through massive amounts of data – calls, video, sensors, alarms, etc. – to discover trends and anomalies that a busy operator may miss.
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3 个月This is very insightful. A few days ago, I spoke with an RCMP officer to get his perspective on AI. He admitted he hadn’t given it much thought. So, I brought up the topic of Google Maps displaying police locations and asked for his opinion. He felt that, overall, it could enhance safety for both officers and the public, which I agreed with. However, I also noted how it could potentially be misused by individuals trying to evade stops or those reckless enough to drink and drive. It turned into a fascinating conversation which got him thinking of AI and technology.