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Migrant Employment Integration and Artificial Intelligence (AI)

Conference paper
Authors Nataliya Berbyuk Lindström
Dina Koutsikouri
Jonas Stier
Matilda Arvidsson
Published in Proceedings of the 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS) online conference, June 16 – 17, 2020.
Publication year 2020
Published at Department of Law
Department of Applied Information Technology (GU)
Language en
Links https://www.chalmers.se/SiteCollect...
Keywords AI, migrant, employment, discrimination.
Subject categories Human Computer Interaction, Law, Media and Communications, Other Social Sciences

Abstract

Employment integration is a cornerstone of migrant integration into host society. Though many AI initiatives targeting migrants have been initiated, research is limited on the design, outcomes and effectiveness of such initiatives. Today, there is a lack of effective implementation protocols and opportunities to assess whether these technologies constitute successful intervention tools and actually contribute to migrant integration.This four-year interdisciplinary research projectseeks to gain a deeper understanding of thechallengesandopportunitiesthatartificialintelligence(AI)entailsforfacilitatingmigrantemploymentintegrationandworkplaceinclusion. We address the following research ques-tions:1. How is AI used by migrants, their co-workers and the actors involved in their employment integration process? 2. How does AI enhance migrant professional competences?and 3. What are pathways to success of AI interventions for integration and inclusion purposes?Acombination of qualitative and quantitative research methods (interviews, focus groups, shadowing and interactive workshops) is used. Insix work packages (WPs)we analyze and identify the challenges and opportunities thatAI entailforfacilitatingmigrantemploymentintegration. Apart from contributing to theorizing migrant integration and AI, we also aim at providing a robust evidence-base for ‘good’ policy-making, regulatory guidelines and administration of profession-oriented integration process.Finally, we want to contribute to better understanding of how AI can contribute to overcoming prejudice and discrimination, which, in turn, can lead to mutual learning and building sustainable, wel-coming and secure communities.

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