A Fuzzy Logic Framework for Community-Aware Crime Hotspot Detection: Prototype Application Architecture and Exploratory Validation for an Urban Computing Platform

2026-07-21T07:23:52Za113a94f40b8a43e978f08e8c42b6573ec39c98edd65999b253c594a93814a0d
LLMsalgorithmic biasartificial intelligencedata-provenanceeducation policyexplainabilityfairnessfrontier AI policygovernancehealthcare MLhuman-centered designmachine learningmedical AIprivacysurveillance

What happened

This arXiv feed collects research across urban computing, generative AI, ML for healthcare, and policy/governance. Notable security- and privacy-relevant items include: a fuzzy-logic crime-hotspot system that fuses citizen reports and historical data (raises privacy, surveillance, and false-positive notification risks despite proposed safeguards); work on automated foreign-policy extraction with LLMs (data provenance, manipulation and attribution concerns); algorithmic parole and prison-related tools centered on surveillance vs. agency (bias, fairness, and misuse risks); debates and empirical/

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cy
Record identifier
a113a94f40b8a43e978f08e8c42b6573ec39c98edd65999b253c594a93814a0d
Enrichment time
2026-07-21T07:23:52Z
AI-assisted enrichment
Yes

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