| 1. |
- Arvidsson, Matilda, 1976, et al.
(författare)
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Decision Making in Asylum Law and Machine Learning: Autoethnographic Lessons Learned on Data Wrangling and Human Discretion
- 2023
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Ingår i: Nordic Journal of International Law. - 0902-7351 .- 1571-8107. ; 92:82
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Tidskriftsartikel (refereegranskat)abstract
- This article avails an autoethnography of the authors’ attempt to construct a post hoc intervention machine learning (ML) system responsive to the problem of discrimination in asylum law decisions. In the article we revisit the conjunction of law as a slow hermeneutic, against the fast-paced pull of AI and commercial imperatives to ask whether a ML-driven post hoc intervention system such as the one set up in the research project, reduces the overall risk of discrimination emerging from human discretion in legal decision making on asylum. We conclude that a ML-driven ‘antidiscrimination machine’ will displace rather than reduce that overall risk. We warn that similar attempts at using ML as part of legal decision making, decision support, and post hoc interventions, in international law and beyond, may need to take seriously the risks of human discretion embedded in ML design and data selection.
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| 2. |
- Arvidsson, Matilda, 1976
(författare)
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Kerstin Anér: Dataskuggan/the Data Shadow
- 2023
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Ingår i: Wikipedia. - : Wikipedia.
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Kerstin Anér myntade det i datavetenskap och datarätt förekommande begreppet dataskugga. Anér nämner termen första gången i tryckt media i den kristna kulturtidskriften Vår Lösen år 1972 i en essä med titeln "Dataskuggan". / Kerstin Anér coined the term Data Shadow, central to issues of data privacy law and politics. She mentions the terms for the first time (in print) in the Christian cultural magazine Vår Lösen in 1972, in an essay entitled "Dataskuggan" (the Data Shadow). The term has since become central to, and an established part of, computer science as well as debates on data privacy law, politics and ethics.
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| 3. |
- Arvidsson, Matilda, 1976
(författare)
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AI, samhällskontraktet och demokrati
- 2022
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Ingår i: KEFU-dagen, Lunds universitet.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Denna keynote ger en inblick i hur AI och liknande "nya teknologier" förändrar samhället, hur detta påverkar vem eller vad som deltar i samhället och ingår i "samhällskontraktet", samt hur vi från olika forsknings- och samhälleliga demokratiska perspektiv kan belysa de utmaningar som förändringarna innebär.
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| 4. |
- Berbyuk Lindström, Nataliya, 1978, et al.
(författare)
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Migrant Employment Integration and Artificial Intelligence (AI)
- 2020
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Ingår i: Proceedings of the 32nd annual workshop of the Swedish Artificial Intelligence Society (SAIS) online conference, June 16 – 17, 2020..
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Konferensbidrag (refereegranskat)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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