ΑΙhub.org
 

New technologies in the justice system – a UK Justice and Home Affairs Committee report


by
31 March 2022



share this:

gavel and books
On 30 March 2022, the Justice and Home Affairs Committee published a report entitled Technology rules? The advent of new technologies in the justice system. In this document, the committee explores the use of Artificial Intelligence (AI) and other algorithmic tools in activities pertaining to the justice system in England and Wales.

The authors warn that the rate of development of these technologies is outpacing scrutiny and regulation. Chair of the Justice and Home Affairs Committee, Baroness Hamwee, said: “We welcome the advantages AI can bring to our justice system, but not if there is no adequate oversight. Humans must be the ultimate decision makers, knowing how to question the tools they are using and how to challenge their outcome.”

The report is available on the Committee’s webpage in both HTML and PDF formats. It is awaiting Government response, and, following this, will be debated in the House of Lords.

The report consists of the following sections:

  1. Introduction
  2. Legal and institutional frameworks
  3. Transparency
  4. Human-technology interactions
  5. Evaluation and oversight
  6. Summary of conclusions and recommendations

In the report, the Committee make a number of recommendations. We highlight some of these below:

  • The Government should establish a single national body to govern the use of new technologies for the application of the law. The new national body should be independent, established on a statutory basis, and have its own budget.
  • This new national body should systematically evaluate and certify technological solutions prior to their deployment.
  • The Government has endorsed principles of artificial intelligence and should outline proposals to establish these firmly in statute.
  • Full participation in the Algorithmic Transparency Standard collection should become mandatory, and its scope extended to become inclusive of all advanced algorithms used in the application of the law that have direct or indirect implications for individuals.
  • Appropriate research should be undertaken to determine how the use of predictive algorithms affects decision making, and under what circumstances meaningful human interaction is most likely.
  • Comprehensive impact assessments should be made mandatory for each occasion an advanced technological tool is implemented in a new context or for a new purpose. They should include considerations of bias, weaknesses of the specific technology and associated datasets, and consideration of the wider societal and equality impacts. Impact assessments should be regularly updated and open to public scrutiny.

Read the report in full

HTML version
PDF version




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with Yash Saxena: how is external knowledge used in AI systems?

  15 Sep 2026
What happens to information from external sources as it moves through an AI system?

When AI art has no author: Study finds generated images often can’t be traced to training data

  14 Sep 2026
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

AI in nature conservation: powerful tool or dangerous shortcut?

  11 Sep 2026
AI provides opportunity for future biodiversity conservation but introduces risks .

Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

  10 Sep 2026
Credit-assigned policy gradient for early stage retrieval in two-stage ranking.

The Machine Ethics podcast: Data Collective with E.M. Lewis-Jong

Ben chats to E.M. Lewis-Jong about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, and more.

AI for ethology: an interview with Isla Duporge

  08 Sep 2026
Deep learning is becoming a powerful tool for understanding animal behaviour and tracking populations.

AI in cardiology: The path to practical application carries risks

  07 Sep 2026
Can artificial intelligence help us better combat cardiovascular diseases? Legal researcher Hannah van Kolfschooten urges caution, as there are still many legal issues that need to be resolved.

AI-powered camera system offers low-cost way to monitor bumblebees

  04 Sep 2026
Researchers have developed a semi-automated method that uses remote cameras to survey bumblebees and potentially other insects.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence