‘This study uses automation probability scores from the Office for National Statistics (ONS) to establish police functions at risk of automation due to technological advancements, including generative artificial intelligence (GenAI). Simulations explore how improving AI and technology acceptance affect probability and scale of impact. Findings indicate large numbers of employees are at high risk of full or partial automation or augmentation, dependent on the scale of adoption. ‘Back office’ roles comprising civilian staff, are most affected. While frontline policing is susceptible, augmentation is the most likely outcome. Senior command and clinical roles are the least affected. The results suggest potential inequality across employee groups, raising concerns regarding fairness of organisational responses including redundancy, retraining, and redeployment, particularly for lower-skilled roles or those in non-leadership ranks. Findings carry implications for strategic workforce planning, underscoring necessity for reskilling/upskilling initiatives, well-being support, and measures to safeguard morale and public confidence as policing transitions.’
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AI Update 