harm_aware_sentencing_synthetic_dataset

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Authors: Ahmad Abadleh
Cited by: 0

Abstract

This file contains a fully synthetic dataset designed to support experiments on a harm-aware, multi-outcome AI sentencing framework. All records are simulated and do NOT represent any real individuals or real jurisdictions. The data structure mimics realistic relationships between judicial decisions, socio-economic factors, health indicators, and post-sentencing outcomes, including a composite Social Harm Index (SHI).

Fields of Study & Subjects

Ethics and Social Impacts of AI Criminal Justice and Corrections Analysis Artificial Intelligence in Law

Publication details

Journal / source
Mendeley Data
Publication date
19 January 2026
Document type
Dataset