Following the news that the police service is setting up a new ‘Hate Lab’ using Artificial Intelligence (AI) to help predict spikes in hate crime on the streets following Brexit, Andy Davies (consultant on police and intelligence services at SAS UK) has highlighted the importance of using data to mitigate preventable or predictable trends.
Davies has stressed 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.
“Law enforcement operates in an increasingly complex environment, with investigators facing unprecedented amounts of data,” said Davies. “Social media has further complicated this environment in the last ten years with data being published online at an unmanageable rate. Clearly, the police are overwhelmed and overworked. The new ‘Hate Lab’ is no silver bullet for eliminating hate crime, but it’s a clear step in the right direction to mitigate preventable or predictable trends.”
Davies continued: “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 officers can cut through the noise and focus on real and emerging threats. AI and data analytics can help the police to do their jobs more efficiently and effectively, so we need to find new and innovative ways to make analytics and resulting insights accessible to today’s officers.”
Davies referenced Gloucestershire Constabulary, which has employed analytics software to improve policing strategies, gain real-time insight into incidents and identify crime ‘hotspots’.
“Gloucestershire officers 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.”
In conclusion, Davies told Risk Xtra: “It’s vital that the police service looks 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 life-saving information.”