Artificial Intelligence (AI) in the asylum system

Sturge G . Asylum Statistics. Research Briefing. London, UK: House of Commons Library. https://commonslibrary.parliament.uk/research-briefings/sn01403/ (2023, accessed 25 November 2023).

Hamilton Byrne W Gammeltoft-Hansen T Piccolo S , et al. Data-driven futures of international refugee law. J Refug Stud 2023; 69: 1–29.

Kinchin N Mougouei D . What can artificial intelligence do for refugee status determination? A proposal for removing subjective fear. Int J Refug Law 2022; 34: 373–397.

Gentleman A . UK government ‘hackathon’ to search for ways to use AI to cut asylum backlog. The Guardian, https://www.theguardian.com/uk-news/2023/apr/29/government-hackathon-to-search-for-ways-to-use-ai-to-cut-asylum-backlog (2023, accessed 30 November 2023).

AI Safety Summit 2023. GOV.UK https://www.gov.uk/government/topical-events/ai-safety-summit-2023 (accessed 30 November 2023).

Edwards L . Regulating AI in Europe: Four problems and four solutions, Ada Lovelace Institute, https://www.adalovelaceinstitute.org/wp-content/uploads/2022/03/Expert-opinion-Lilian-Edwards-Regulating-AI-in-Europe.pdf (2022, accessed 29 November 2023).

Rodrigues R . Legal and human rights issues of AI: gaps, challenges and vulnerabilities. J Respons Technol 2020; 4: 100005.

Burrell J . How the machine ‘thinks’: understanding opacity in machine learning algorithms. Big Data Soc 2016; 3: 1.

Ozkul D . Automating Immigration and Asylum: The Uses of New Technologies in Migration and Asylum Governance in Europe. Oxford: Refugee Studies Centre, University of Oxford, UK, 2023.

Hanzlíková D Skarnitzl R . Credibility of native and nonnative speakers of English revisited: do non-native listeners feel the same? Res Lang 2017; 15: 285–298.

Muraszkiewicz J . Honeycomb: Shining light on a hidden crime: an application to analyse, understand and respond more proactively to modern slavery and human trafficking. Trilateral Res. https://trilateralresearch.com/work/honeycomb-project (2022, accessed 30 November 2023)

Griffiths M . The emotional governance of immigration controls. Identities 2023: 1–21.

McGregor Richmond K Muddamsetty SM Gammeltoft-Hansen T , et al. Explainable AI and law: an evidential survey. Digit Soc 2023; 2: 3.

O’Neil C . The era of blind faith in big data must end. Ted Conferences. https://www.ted.com/talks/cathy_o_neil_the_era_of_blind_faith_in_big_data_must_end (2017, accessed 30 November 2023).

Land M Aronson J . Human rights and technology: new challenges for justice and accountability. Annu Rev Law Soc Sci 2020; 16: 223–240.

Herlihy J Gleeson K Turner S . Discrepancies in autobiographical memories – implications for the assessment of asylum seekers: repeated interviews study. Br Med J 2002; 7333: 324–327.

Vredeveldt A Given-Wilson Z Memon A . Culture, trauma, and memory in investigative interviews. Psychol Crime Law 2023; 29: 1–21.

Skrifvars J Sui V Antfolk J , et al. Psychological assumptions underlying credibility assessments in Finnish asylum determinations. Nord Psychol 2022; 74: 1–22.

Abrusci E Mackenzie-Gray Scott R . The questionable necessity of a new human right against being subject to automated decision-making. Int J Law Inf Technol 2023; 31: 114–143.

Arnell P . The threat to our human rights: the repeal of the human rights act 1998. Med Sci Law 2022; 62: 248–250.

Jasmontaite-Zaniewicz L Barboza J . Disproportionate surveillance: technology-assisted and automated decisions in asylum applications in the EU? Int J Refug Law 2021; 33: 89–110.