Research event

Building a Non-Discrimination Machine for Asylum Law Decisions

A presentation by Prof. Gregor Noll and Dr Matilda Arvidsson from University of Gothenburg. This event is part of the Fundamental Rights Research Colloquium hosted by the Centre for Fundamental Rights

Compared to other fields of law, legal decision-making in the asylum field brings with it a comparatively large space of discretion. In exercising decisional discretion, asylum judges and other decision-makers might overstep the limit to discrimination. Is there a way to use Machine Learning (ML) technology to warn them away from doing so? This is the concrete problem that Dr Arvidsson and Prof. Noll's project was designed to address. In 2019, they were awarded a seed grant from the Swedish innovation agency VINNOVA which allowed them to bring together the expertise of a Swedish public authority (the Swedish Migration Board), academy (the two of us, representing he Department of Law at Gothenburg University) and an innovation-driven entrepreneurship on AI (Smartr, a small AI business spinning off from Gothenburg University). The presentation will recapitulate the implementation of the project, making a number of concrete points on how the fundamental challenges of integrating machine learning and human judgment might – or might not – be met. 

Matilda Arvidsson is associate professor (Docent) in international law, and assistant senior lecturer in law and theory, at the Department of Law, the University of Gothenburg. Her research interests are interdisciplinary and include AI and law, law and theory, international law, feminist posthumanism, as well as the embodiment of law in its various forms and in inter-species relations. 

Gregor Noll is a Professor of International Law at the Gothenburg University. His main main areas of research are international refugee and migration law, human rights law, the theory of international law and international humanitarian law, and the impact of technology on law. 

Prior registration is required. Registered attendees will receive the dial-in details via e-mail prior to the event.