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@article{202955,
        author = {Megha Pote and Gopal Khorwal},
        title = {Navigating the Algorithmic Panopticon: Assessing the Socio-Technical Impact of Predictive AI on Urban Governance and Individual Agency},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {9845-9850},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202955},
        abstract = {The rapid integration of artificial intelligence (AI) into urban governance has transformed civic infrastructure, transitioning municipal management from reactive administration to predictive intervention. While predictive AI frameworks promise optimized resource allocation and enhanced public safety, they simultaneously introduce profound systemic risks regarding algorithmic bias, data surveillance, and the erosion of individual agency. This paper investigates the socio-technical implications of predictive AI deployments in urban environments, specifically examining automated resource distribution and predictive policing mechanisms. Utilizing a mixed-methods approach that combines empirical algorithmic auditing with qualitative civic impact assessments, we analyze the deployment of these systems across three metropolitan case studies. Our findings reveal that predictive models frequently codify historical socio-economic disparities, creating feedback loops that disproportionately disadvantage marginalized demographics. Furthermore, the lack of algorithmic transparency severely curtails public accountability and compromises individual autonomy. To mitigate these systemic vulnerabilities, this study proposes a comprehensive, human-centric framework for algorithmic governance. This framework integrates dynamic de-biasing protocols, stakeholder-inclusive participatory design, and robust independent oversight mechanisms, establishing a paradigm where civic technology reinforces rather than undermines democratic values.},
        keywords = {Predictive AI, Urban Governance, Socio-Technical Systems, Algorithmic Bias, Individual Agency, Public Accountability.},
        month = {May},
        }