| 1. |
- Noll, Gregor, et al.
(author)
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Conclusions on the central link
- 2002
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In: New asylum countries?: migration control and refugee protection in an enlarged European Union. - 9041117539
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Book chapter (other academic/artistic)
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| 2. |
- Noll, Gregor, et al.
(author)
-
Conclusions on the Southern Link
- 2002
-
In: New asylum countries?: migration control and refugee protection in an enlarged European Union. - 9041117539
-
Book chapter (other academic/artistic)
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| 3. |
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| 4. |
- Noll, Gregor, et al.
(author)
-
Germany
- 2002
-
In: New asylum countries?: migration control and refugee protection in an enlarged European Union. - 9041117539
-
Book chapter (other academic/artistic)
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| 5. |
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| 6. |
- Noll, Gregor, et al.
(author)
-
Protection in a spirit of solidarity
- 2002
-
In: New asylum countries?: migration control and refugee protection in an enlarged European Union. - 9041117539
-
Book chapter (other academic/artistic)
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| 7. |
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| 8. |
-
AI, digitalisering och rätten: en lärobok
- 2021
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Editorial collection (other academic/artistic)abstract
- AI och digitalisering har en stor faktisk regleringsmakt. I förening med teknikens kommersiella potential har den blivit en allvarlig konkurrent till rättens formella regleringsmakt. I den här boken kopplas diskussionen om enstaka teknologiska lösningar till rättens centrala begrepp och institutioner. Hur kommer rätten som sådan att samverka med AI och digitalisering - eller kommer den rentav att motverka dem? Juridiken förändras just nu utifrån - poängen med denna bok är att vara ett steg på vägen att förändra den inifrån och att därmed äga själva processen. AI, digitalisering och rätten ger dig verktyg att tänka klarare om AI- teknikens potentiella återverkningar på rättens olika delar. Boken vänder sig i första hand till studenter på landets juristutbildningar, men är också skriven så att läsare med olika bakgrund och kunskapsnivåer kan tillgodogöra sig innehållet.
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| 9. |
- Arvidsson, Matilda, 1976, et al.
(author)
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Artificial Intelligence, Decision Making and International Law
- 2023
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In: Nordic Journal of International Law. - 0902-7351. ; 92:84, s. 1-8
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Journal article (other academic/artistic)abstract
- The question how artificial intelligence (AI), including machine learning (ML), impacts on law in general, and on international law in particular, has gained more and more traction in recent years. Ensuing debates have mainly homed in on threats and opportunities posed to law by this technology, and remained on a rather abstract level. Our text gives an introduction to the field of AI, decision making and international law, narrowing our focus to what we see as a critical area of empirically grounded and granular research in AI, decision making and international law. The overarching question for the special issue of which this text is an introduction to, is how AI, including AI-supported and automated decision making, might impact on decisions we take in international law. This allows us to track how technologically induced practice makes its way into domestic law, and, potentially, from there onwards into international law. Our text sets out some core tenants of this field, and argues that more nuanced and empirically grounded inter- and intra-disciplinary is needed in order to respond to contemporary questions and concerns of AI, decision making and international law
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| 10. |
- Arvidsson, Matilda, 1976, et al.
(author)
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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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In: Nordic Journal of International Law. - 0902-7351 .- 1571-8107. ; 92:1, s. 56-92
-
Journal article (peer-reviewed)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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