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Sentencing and risk assessment algorithms

Sentencing and risk assessment algorithms
Sentencing and risk assessment algorithms
AI, Digital Criminology, Responsible AI
De Gruyter
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Kaufmann, Mareile
Lomell, Heidi Mork
Ugwudike, Pamela
2faf9318-093b-4396-9ba1-2291c8991bac
Kaufmann, Mareile
Lomell, Heidi Mork

Ugwudike, Pamela (2024) Sentencing and risk assessment algorithms. In, Kaufmann, Mareile and Lomell, Heidi Mork (eds.) De Gruyter Handbook of Digital Criminology. De Gruyter. (In Press)

Record type: Book Section

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More information

Accepted/In Press date: 27 March 2024
Keywords: AI, Digital Criminology, Responsible AI

Identifiers

Local EPrints ID: 497518
URI: http://eprints.soton.ac.uk/id/eprint/497518
PURE UUID: 28890bd5-1b92-4c6b-a71c-9bb13145cead
ORCID for Pamela Ugwudike: ORCID iD orcid.org/0000-0002-1084-7796

Catalogue record

Date deposited: 24 Jan 2025 17:42
Last modified: 25 Jan 2025 02:57

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Contributors

Author: Pamela Ugwudike ORCID iD
Editor: Mareile Kaufmann
Editor: Heidi Mork Lomell

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