Recent developments in generative AI provide the means to apply AI to manage and control immigration and the integration of migrants in local communities worldwide. This research proposes how AI can improve the control and management of immigration policies. A literature review and interviews with migrants closed the identified knowledge gap of how immigration control and migrant integration could be applied to address the social-psychological aspects of migration in areas such as social identity and cultural integration. Results suggest that Governments would benefit from adopting the application of AI in immigration in combination with meaningful human control to reduce AI hallucinations. An AI-driven immigration trend analysis provides the means to ensure that a country’s infrastructure can cope with migration influx changes.
Table of Contents
- 1. Introduction
- 1.1 Introduction
- 1.2 Literature Review
- 1.2.1 Migration and Immigration
- 1.2.2 Integration of Migrants
- 1.2.3 The role of AI to exercise consistent and unbiased Migrant Control and Integration
- 1.3 Main Research Questions
- 1.4 Knowledge Gap
- 2. Methodology
- 3. Results
- 3.1 Literature Review
- 3.2 Interviews
- 4. Discussion
- 5. Conclusions
- References
Objective & Thematic Focus
This research fundamentally aims to explore how Artificial Intelligence (AI) can be leveraged to improve the social-psychological aspects of immigration control and migrant integration. It seeks to bridge the existing knowledge gap by proposing AI-driven solutions that enhance societal bonding, social identity, and cultural integration within the context of migration management.
- Application of AI in immigration control
- Enhancing migrant cultural integration
- Addressing social identity concerns of migrants
- Stimulating innovative immigration processes
- Impact of AI on immigration policies
- European Travel Information and Authorization System (ETIAS)
Excerpt from the Book
1.2.1 Migration and Immigration
According to Olusoga (2022), migrations on planet earth have existed for over 100,00 years. Migration was the driving factor that made it possible for human beings to occupy most of the world. It appears that Africa was the starting point of all migration. Migrations took place by land and by sea. Migration is a behind the scene reality to the world people live in. More and more people moved to the city in favor of the countryside (for example, Britain around 1950). Not all migrations have been voluntary. After the slave trade came to an end, the British Empire, for example, enticed many people from India to migrate to Great Britain to do the work slaves used to do beforehand. Many Chinese people migrated to work in the empires created by European nations. Many migrations (North America) led to local people migrating to make place for new settlers. Many countries today depend upon their migrants to ensure that their economies are working. Many migrant workers still send money to their home countries to support their families. These countries rely heavily on the incoming money to boost national incomes. Many migrants leave their home country to seek a better life and to find work, or to escape from wars and conflicts. Climate change is also a relevant and important factor. Many people are at risk to lose their homes and jobs. Migration and climate change are becoming closely connected. Migration exercises a huge influence on culture and societies across the world.
Moridian et al. (2024) suggest that migration has been around for a long time, often driven by related socio-economic factors across geographies. It is possible to identify and confirm economic impacts immigration has had on a country's economic situation. Any impact on the employment market remains elusive. Every country has a different approach to immigration policies, economic conditions, and societal attitudes, to name a few. Timing and locations are significant factors that can impact negatively or positively on economic conditions. It appears that migration increases in direct proportion to economic situations. An economic downturn leads to unfair treatment of immigrants and they may not know anyone to help them find a job. Dealing with unemployment issues is vital to develop a stable and balanced economy. Migration introduces diversity within societies. Many migrants settle in well-established regional communities to allow them to settle down much quicker. Generally, immigration and emigration enrich local societies. People movement changes a country's cultural mix, its demographic structure, and its socio-economic dynamics.
Summary of Chapters
1. Introduction: This chapter introduces the topic of how Artificial Intelligence can improve social-psychological aspects of immigration control and migrant integration, outlining the research problem, key definitions, and specific research objectives.
2. Methodology: The methodology chapter details the qualitative, constructivist interpretivist research approach, including a comprehensive literature review and face-to-face interviews with migrants, aimed at understanding diverse experiences and informing AI application recommendations.
3. Results: This section presents the findings from the literature review and interviews, highlighting historical migration patterns, the importance of culture and identity in integration, and migrant perspectives on challenges and improvements in the immigration process.
4. Discussion: The discussion explores the advanced capabilities of generative AI for immigration management, emphasizing its potential to collect detailed migrant data while stressing the necessity of human oversight, public support, and ethical considerations to prevent AI hallucinations and biases.
5. Conclusions: This chapter summarizes the key challenges and opportunities for AI in immigration and integration, advocating for fair, efficient, and publicly supported AI systems with human intervention to ensure effective migrant control and successful integration.
Keywords
Artificial Intelligence (AI), Social Identity, Societal Bonding, Cultural Integration, European Travel Information and Authorization System (ETIAS), Immigration Control, Migrant Integration, Social Psychology, Generative AI, Human-AI Collaboration, Migration Policy, Ethical AI, Xenophobia, Discrimination, Border Control.
Frequently Asked Questions
What is this work fundamentally about?
This work fundamentally explores how Artificial Intelligence can be utilized to enhance the social-psychological dimensions of immigration control and the integration of migrants into new societies, aiming to improve existing policies and processes.
What are the central thematic areas?
The central thematic areas include the application of AI in immigration, fostering cultural integration and societal bonding among migrants, addressing social identity concerns, and developing more effective and humane immigration processes.
What is the primary goal or research question?
The primary goal is to develop and suggest solutions for how AI can improve immigration control, identify ways to achieve higher levels of cultural integration, reduce social identity concerns, and stimulate new thinking for effective immigration processes.
Which scientific method is used?
The research adopts a constructivist interpretivist qualitative research approach, employing a thorough literature review and face-to-face interviews with actual immigrants to collect and interpret primary data.
What is covered in the main part?
The main part covers a comprehensive literature review on migration and integration, the methodology of the research, findings from interviews with migrants, a discussion on AI's role and challenges, and conclusions with recommendations for future research.
Which keywords characterize the work?
Key words characterizing the work include Artificial Intelligence (AI), Social Identity, Societal Bonding, Cultural Integration, European Travel Information and Authorization System (ETIAS), Immigration Control, Migrant Integration, and Social Psychology.
How does the paper propose AI can reduce "AI hallucinations"?
The paper proposes that to avoid "AI hallucinations" (incorrect or misleading results), human beings must be engaged in AI-based systems to make final decisions, ensuring the outputs are checked and validated by human intelligence.
What are the three categories of immigration mentioned?
The paper divides immigration into three categories: Primary (mainly labor driven), Secondary (mainly family driven), and Asylum/refugees/irregular migration.
What role does social psychology play in this research?
Social psychology is highlighted as playing a vital role by providing insights into how people interact, think, feel, and behave within social environments, which is crucial for understanding and improving immigration and cultural integration processes.
What are some ethical concerns regarding AI in immigration control highlighted in the paper?
Ethical concerns include lack of transparency, bias, and opacity in AI systems, potential for automated decisions to cut civil rights and social entitlements, inappropriate use of biometric data, and challenges in upholding human rights and democratic control.
- Arbeit zitieren
- Prof Dr Eddie Fisher (Autor:in), 2025, How Artificial Intelligence (AI) could improve the Social Psychological aspects of Immigration Control and Migrant Integration, München, GRIN Verlag, https://www.grin.com/document/1619499
