Following the news that the police will set up a new “hate lab” that will utilise AI to help predict spikes in hate crime on the streets following Brexit, Andy Davies, consultant, police & intelligence services at SAS UK highlights the importance of using data to mitigate preventable or predictable trends.
Andy stresses the need for law enforcement to find new and innovative ways to make analytics and resulting insights accessible to officers. Ultimately, AI and data analytics has the power to help police do their jobs more efficiently and effectively.
Expert Comments below:
Andy Davies, Consultant at Police & Intelligence Services, SAS UK:
“Law enforcement operates in an increasingly complex environment, with investigators facing unprecedented amounts of data. Social media has further complicated this environment in the last 10 years with data being published online at an unmanaged rate. Clearly, police are overwhelmed and overworked. The new “Hate Lab” is no silver bullet to getting rid of hate crime, but it is a clear step in the right direction to mitigate preventable or predictable trends.
Making sense of this data and understanding the underlying connections is critical in any investigation or intelligence-development activity. Data analytics is already reviewing huge volumes of intelligence data rapidly, so that police can cut through the noise and focus on real and emerging threats. AI and data analytics can help police do their jobs more efficiently and effectively, so we need to find new and innovative ways to make analytics and resulting insights accessible to officers.
“Indeed, Gloucestershire Constabulary has employed analytics software to improve policing strategies, gain real-time insight into incidents, and identify crime hotspots. Gloucestershire Police will now be able to draw together data from numerous systems and sources, including its electronic incident log, phone system, GPS-capable radios and demographic data from other sources. Using analytics, it will also be able to use the data available to identify crime hotspots, monitor trends, forecast future crime/incident levels offenders across the county and see a live breakdown of crime statistics.
“It’s vital that police look for every opportunity to operate more efficiently and use the latest data-driven tools in the fight against crime. By using data analytics our police forces will be in an even better position to derive intelligence from multiple sources of potentially lifesaving information.”