Algorithms for group recognition? Ensuring lawful and rights-based use of new technologies in group refugee recognition
COMPUTER LAW AND SECURITY REPORT, cilt.59, ss.106222-106237, 2025 (SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 59
- Basım Tarihi: 2025
- Doi Numarası: 10.1016/j.clsr.2025.106222
- Dergi Adı: COMPUTER LAW AND SECURITY REPORT
- Derginin Tarandığı İndeksler: Index to Legal Periodicals, Scopus, Social Sciences Citation Index (SSCI), PASCAL, Compendex, Index to legal periodicals & books, INSPEC
- Sayfa Sayıları: ss.106222-106237
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
This article explores the potential role of new technologies, including Artificial Intelligence (AI), in group-based refugee recognition procedures. While the use of new technologies in individual refugee status determination has attracted significant scholarly interest, their application in the context of group recognition remains largely underexamined. This article argues that group recognition procedures grounded in pre-defined, objective eligibility criteria, rather than assessments of individual credibility or well-founded fear, offer a more structured and legally consistent framework for technological integration. Building on this insight, the article proposes a model for Dynamic Autonomy Group Recognition. In this model, AI tools support the identification of individuals who fall within a recognised group by verifying identity, matching applicants against legally defined group criteria and flagging potential exclusion concerns. Crucially, however, all negative or exclusion decisions remain subject to mandatory human review. The article analyses both the opportunities and risks of this approach and argues that, if carefully designed and properly regulated, Dynamic Autonomy Group Recognition may offer a lawful, principled, and operationally effective means of managing the protection obligations of states, particularly in large-scale displacement.