Trustworthy and Responsible AI for Citizenship, Migration, and Social Good

AI systems and AI agents are increasingly deployed in high-stakes social domains, including healthcare, mental health support, public services, and migration- and citizenship-related decision-making. While these technologies promise efficiency, scalability, and broader access, they also raise fundamental concerns around trust, safety, reliability, fairness, accountability, and transparency. These challenges are especially acute in contexts where errors, bias, or misuse can have serious human, social, and legal consequences.

Aligned with the Bridging Divides research program, this workshop focuses on responsible and trustworthy AI at the intersection of technology, society, and policy. The goal is to foster a constructive, interdisciplinary dialogue between researchers, practitioners, policymakers, and community stakeholders on how AI systems can be designed, evaluated, governed, and deployed in ways that promote public trust and social good—particularly in domains related to citizenship, global migration, and other safety-critical social systems.

The Trust to Impact: Trustworthy and Responsible AI for Citizenship, Migration, and Social Good (TIAI) workshop will feature invited keynote talks, technical and non-technical paper presentations, poster sessions, and panel discussions. It is explicitly designed to bridge technical perspectives (e.g., robustness, uncertainty, safety, verification) with societal, ethical, legal, and policy perspectives (e.g., governance, accountability, equity, lived experience, and community impact).

Workshop organizers: Reza Samavi, AI Institute of the Barcelona Supercomputing Center and Naimul Khan, Toronto Metropolitan University

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Host or Publisher Bridging Divides