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.




            AIhub is supported by:


Related posts :



Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models

  17 Jun 2025
Find out how Mahammed is investigating multiple facets of biases in LLMs.

Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?

  16 Jun 2025
Last month, Google announced SynthID Detector, a new tool to detect AI-generated content.

The Good Robot podcast: Symbiosis from bacteria to AI with N. Katherine Hayles

  13 Jun 2025
In this episode, Eleanor and Kerry talk to N. Katherine Hayles about her new book, and discuss how the biological concept of symbiosis can inform the relationships we have with AI.

Preparing for kick-off at RoboCup2025: an interview with General Chair Marco Simões

  12 Jun 2025
We caught up with Marco to find out what exciting events are in store at this year's RoboCup.

Graphic novel explains the environmental impact of AI

  11 Jun 2025
EPFL’s Center for Learning Sciences has released Utop’IA, an educational graphic novel that explores the environmental impact of artificial intelligence.

Interview with Amar Halilovic: Explainable AI for robotics

  10 Jun 2025
Find out about Amar's research investigating the generation of explanations for robot actions.

Congratulations to the #IJCAI2025 award winners

  09 Jun 2025
The winners of three prestigious IJCAI awards for 2025 have been announced.

Machine learning powers new approach to detecting soil contaminants

  06 Jun 2025
Method spots pollutants without experimental reference samples.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence