Artificial Intelligence and Predictive Policing: Assessing Asymmetric Algorithmic Biases in Post-Conflict Urban Centers

Global Journal of Peace and Conflict Studies | Vol. 8, No. 8, August 2017 | pp. 730–738

DOI: 10.46882/2017/GJPCS/0000103

Article Type: Original Research Paper

Title: Artificial Intelligence and Predictive Policing: Assessing Asymmetric Algorithmic Biases in Post-Conflict Urban Centers

Names of Authors: Liam O'Connor¹, Musa Ibrahim²

Authors’ Affiliations: ¹School of Law and Criminology, University College Dublin, Dublin, Ireland; ²Department of Political Science, University of Maiduguri, Maiduguri, Nigeria

Abstract: Localized private military and security companies (PMSCs) within post-conflict environments pose significant challenges to the traditional state monopoly on legitimate violence. This study evaluates the domestic regulatory frameworks and accountability mechanisms governing private security operations in transitional societies. Utilizing a comparative institutional analysis across three post-conflict nations, we examined legal oversight registries, contract performance audits, and human rights tracking reports from 2008 to 2011. The empirical analysis demonstrates that weak institutional capacities and vague legal statutes leave host nations unable to adequately monitor corporate misconduct or operational excesses. Quantitative mapping shows that areas with high densities of unregulated PMSC deployments reported a higher frequency of community friction incidents (Mean = 6.8 events/month) than zones relying on public law enforcement (Mean = 2.4 events/month), yielding p < 0.05. The study reveals that a lack of clear judicial jurisdiction over foreign corporate contractors undermines domestic rule of law and breeds deep community distrust. The paper recommends establishing a binding international registry paired with mandatory domestic licensing standards to enforce strict legal accountability.

Keywords: Predictive Policing, Artificial Intelligence, Algorithmic Bias, Public Security, Post-Conflict Reconstruction, Surveillance Telemetry, Institutional Trust

Manuscript Timeline: Received: March 11, 2017; Revised: May 18, 2017; Accepted: June 22, 2017; Published: August 04, 2017

Citation: O'Connor, L., & Ibrahim, M. (2017). Artificial Intelligence and Predictive Policing: Assessing Asymmetric Algorithmic Biases in Post-Conflict Urban Centers. Global Journal of Peace and Conflict Studies, 8(8), 730–738. DOI: 10.46882/2017/GJPCS/0000103

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