AI- Enhanced Decision Support Systems for Migration Management: A Case Study Analysis
Abstract
This paper explores the increasing role of artificial intelligence (AI) in migration management, focusing on decision support systems. It provides a comprehensive overview of AI's historical development, the concept of migration management, and a literature review on international labor migration. The study highlights the multifaceted applications of AI in migration, such as processing visa applications, preventing irregular migration, and enhancing border control. The role of AI in labor market polarization and security measures, including biometrics and lie detection, is discussed. The paper acknowledges challenges in AI implementation, including computing power, limited knowledge, human-level capabilities, data security, privacy concerns, and biases. The conclusion suggests that while AI advancements in migration management offer both benefits and challenges, their impact on mixed migration remains complex and requires a delicate balance.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0