08 Dec 2023
by Ben Scully, Richard Walker

AI in the Dock: Revolutionizing UK's Criminal Justice System

In the corridors of British courts, where the echoes of age-old legal traditions still resound, a quiet revolution is brewing — one led by Artificial Intelligence (AI). The UK’s criminal justice system is on the cusp of a transformation, and AI is the catalyst for this change. But can AI deliver a more fair, efficient, and effective system, or are we opening Pandora's box? 

The Age of AI Justice: Rethinking Justice in the UK 

In the corridors of British courts, where the echoes of age-old legal traditions still resound, a quiet revolution is brewing — one led by Artificial Intelligence (AI). The UK’s criminal justice system is on the cusp of a transformation, and AI is the catalyst for this change. But can AI deliver a more fair, efficient, and effective system, or are we opening Pandora's box? 

AI: The New Face of British Justice 

Imagine a system where predictive algorithms help to personalise rehabilitation programmes, based on what we know actually works; where AI tools sift through evidence, saving hundreds of hours of officer time; and enable fair access to support and services for all. These are not conversations to be had tomorrow, but opportunities that colleagues across the CJS must consider today. 

Data-Driven Interventions: Preventing Rather Than Reacting 

It’s no longer controversial to say that priority justice outcomes can be positively impacted by preventative interventions – but AI delivers a step change from gut feel and officers’ heuristics-based decision making, enabling forces to predict crime hotspots, optimise resource deployment and prove the efficacy of interventions taken. Similarly, with the perpetual challenge of recidivism still requiring innovative new approaches, AI enabled prevention opportunities exist in social services, prisons rehabilitation programmes, and probation. 

The Double-Edged Sword: Fairness vs. Bias 

However, AI isn't a panacea. There are significant risks in relying on algorithmic decision making in a justice context. Namely, the risk of perpetuating existing biases and other flaws in the data the system collects that are widely commented on. There is a risk that AI systems would be trained on data that is not truly representative of the communities the system serves. Ensuring AI’s impartiality in the justice system is not just a challenge, it's an imperative, because hard earned trust is easily lost. 

It will take a village to make it real – we will need 

  • Senior decision makers to identify genuine opportunity areas where the business benefit is clear and where they are able to align stakeholders to a common goal. 

  • To sponsor ways to experiment safely and test extensively – we need to ideate and iterate within unprecedented timescales. This will require a culture change at all levels. 


 

Authors

Ben Scully

Ben Scully

AI and Data Lead, Security and Justice, Deloitte

Richard Walker

Richard Walker

AI and Data Lead, Security and Justice, Deloitte