RSS04.10 Digitalization and Migrant Inclusion

This course will discuss the widespread digitalization, automation, and potential algorithm bias in digital society. More course descriptions can be seen below and in the day-to-day programme:

(1) Digitalization, automation and migrants: How has digitalization become an integral part of our daily lives? We will discuss the widespread digitalization and automation in our current daily lives, including but not limited to, for example, mortgage applications and insurance fees (e.g., the behaviour-based algorithm). How are migrants included in these algorithms? Is there any potential bias in algorithms, and if so, what are the biases and why? What is technical bias or societal bias in AI? The ‘black box’ of AI will be opened and discussed in different phases. Interdisciplinary insights on machine learning algorithms will be introduced from the perspectives of data justice, non-discrimination law and personalised pricing.  Abundant cases and ethical concerns will be discussed to lead to a more responsible and inclusive AI.

(2) Digitalization & Employment: Recruitment is a complex system, and making positive changes to the system that involves opportunities for the development of technologies, personnel structure, and industrial revolution. This session will first discuss the current situations and possibilities for a just AI system to support recruitment. To integrate the many stakeholder viewpoints, people are creating a human-centred framework for designing and developing AI recruiting technology. A future direction of hybrid intelligence will also be deeply discussed.

(3) Digitalization at borders: Many countries plan use, or plan to use, automated decision-making or ‘artificial intelligence’ in the context of immigration and border control. This session will summarise the main trends in the use of automated decision-making at borders. The session will explore the following questions. What are the main ways that automated decision-making is used, or is planned to be used, at the borders of the EU? Does such automated decision-making bring discrimination-related risks for a specific group of people, and if so: which risks? What are the gaps, if any, in the knowledge about automated decision-making at borders? We will discuss literature from various fields, including social sciences, geography and migration studies, and law.

(4) Media, digital Media, and migration: The goal will offer a platform for attendants to develop their critical thinking and research skills for making sense of the intricate relationships between media and migration across different sociopolitical and cultural contexts and the drivers of migration (e.g., economic, political, environmental, cultural, humanitarian, and so forth).

Find the detailed program here (preliminary program, can still change)