02588nam a22003497c 4500 6658 6658 00006658 ES-MaONT 20210803073907.0 210803s2021 ||||eot|||i00| 0 eng d 978-92-846-8363-5 doi 10.2861/91831 ES-MaONT 5131 Dumbrava, Costica Artificial intelligence at EU borders : overview of applications and key issues / author, Costica Dumbrava, EPRS European Parliamentary Research Service Brussels : European Union, July 2021 41 p. ; 1 documento PDF isbdcontent texto (visual) isbdmedia electrónico rdacarrier recurso en línea This paper provides an overview of EU initiatives on developing and deploying artificial intelligence (AI) technologies to improve border control and border security. First, it outlines the historical development of identification technologies (passport, fingerprints, photography, polygraphy, face recognition) in the social and political context. Second, it outlines the EU policy on smart borders, examining the EU’s centralised information systems and major information exchange mechanisms for borders and security. Third, it surveys major EU initiatives on AI for borders by looking into four categories of AI applications: 1) biometric identification (automated fingerprint and face recognition); 2) emotion detection; 3) algorithmic risk assessment; and 4) AI tools for migration monitoring, analysis and forecasting. Fourth, it discusses key issues raised by the development and use of such AI applications, namely reliability issues (accuracy of technologies and data quality), and fundamental rights issues (bias and discrimination, data protection and security, unlawful profiling, and transparency in EU funding on AI research). The paper concludes with reflections on the broader understanding of technologies, cautioning against the pitfalls of technological determinism and the myth of technological neutrality. 4348 Inteligencia Artificial AI seguridad control de fronteras biometría controles policiales Unión Europea UE Parlamento Europeo. Dirección General de Servicios de Estudios Parlamentarios 3675 https://op.europa.eu/en/publication-detail/-/publication/a4c1940f-ef4a-11eb-a71c-01aa75ed71a1/language-en 0 Acceso al documento pdf z INF 0 0 0 3 1 7603 01 01 online 2021-08-03 0 1000020176851 2021-08-03 00:00:00 2021-08-03 INF pdf