Code and Data Repository for Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats

The goal of this repository is to demonstrate our proposed design framework for responsible AI systems that support proactive crime detection and real-time response.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-05-15
DOI
https://doi.org/10.1287/ijoc.2023.0488.cd
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Code and Data Repository for Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats

Wei Xu, Qili Wang, Liangfei Qiu, Xiaotong Sun
INFORMS journal on computing
Digital and Cyber Forensics
article

Code and Data Repository for Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats

Wei Xu, Qili Wang, Liangfei Qiu, Xiaotong Sun
article en

Abstract

The goal of this repository is to demonstrate our proposed design framework for responsible AI systems that support proactive crime detection and real-time response.

INFORMS journal on computing
Openalex Percentile: Top 86%
Digital and Cyber Forensics
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Code and Data Repository for Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats — Wei Xu, Qili Wang, et al. · INFORMS journal on computing (2025) | TGRS Research Map | TGRS