Data science, machine learning, and artificial intelligence (AI): using digital tools for AI whilst ensuring transparency, accountability and reserved legal activities; algorithmic decision-support and decision-making; large language models for feature extraction and the analysis of complex textual data.
Background
To address evidence priorities set out in this ARI, we need to draw on a wide range of analytical and research methodologies, including the use of AI. We want to engage with researchers to enhance our scientific capability and explore how innovative methods can be applied to justice research and analysis.
Next steps
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Related UKRI funded projects
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AI in Criminology Research: Mapping Methodological Shifts and Epistemic Risks
Over the past two decades, artificial intelligence (AI) has quietly but profoundly transformed the study of crime—from predictive algorithms used to identify policing hotspots to machine learning systems that analyse cou...
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Why might this be relevant?
The project specifically focuses on AI in criminology research, which aligns with the question's emphasis on using AI tools for research and analysis in the justice sector.
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Why might this be relevant?
Addresses the use of AI in legal systems and decision-making, exploring feasibility and public involvement.
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The vision for the project between LegalBeagles Group Ltd (LBGroup) and IBM UK Ltd (IBM) is to provide easy access to legal answers via quality, community guidance supported by technology, which will analyse and scale kn...
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Why might this be relevant?
Focuses on providing legal support through AI technology, but not specifically on legal decision-making and transparency.