Artificial Intelligence for Governing Forced Migration and Urban Sustainability: A Critical Analysis
- DOI
- 10.2991/978-2-38476-547-8_15How to use a DOI?
- Keywords
- Artificial Intelligence; Forced Migration; Urbanization; Sustainability; Human Rights
- Abstract
Forced migration is a great challenge to the sustainability of cities, especially in India, which is a fast-urbanizing nation. The recent policy discussion has favored a growing use of Artificial Intelligence (AI) as a governance mechanism to manage the migration flow, urban infrastructure, and service provision. This article critically analyses AI in managing forced migration and the implications of this on urban sustainability. It assesses the opportunities of AI-based systems when it comes to forecasting migration, Urban planning, and welfare allocation, and at the same time raises questions of data privacy, algorithmic bias, exclusion, and accountability. This study argues that although AI has the potential to improve urban resilience and efficiency, its uncontrolled usage is likely to increase the structural inequalities of forced migrants. This legal research adopts a doctrinal and critical approach in order to evaluate whether AI-based migration governance is consistent with constitutional principles, human rights norms, and the Sustainable Development Goals, especially SDG 11.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mihir Umesh Inamdar AU - Abhijeet Ramkrishna Dhere PY - 2026 DA - 2026/03/05 TI - Artificial Intelligence for Governing Forced Migration and Urban Sustainability: A Critical Analysis BT - Proceedings of the International Conference on Socio Legal Intricacies of Artificial Intelligence (ICSLIAI 2026) PB - Atlantis Press SP - 124 EP - 130 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-547-8_15 DO - 10.2991/978-2-38476-547-8_15 ID - Inamdar2026 ER -