Fernandes-Salvador, Jose A.Oanta, Gabriela A.Olivert-Amado, AnaGoienetxea, IzaroIbaibarriaga, LeireAranda, MartínCuende de Francisco, ElsaFoti, GiuseppeOlabarrieta, IdoiaMurua, JeffersonPrellezo, RaulIñarra, BrunoQuincoces, IñakiCaballero, AinhoaSobrino Heredia, José Manuel2024-07-022024-07-022022Fernandes-Salvador, J.A., Oanta, G.A., Olivert-Amado, A., Goienetxea, I., Ibaibarriaga, L., Aranda, M., Cuende, E., Foti, G., Olabarrieta, I., Murua, J., Prellezo, R., Iñarra, B., Quincoces, I., Caballero, A., Sobrino-Heredia, J. M, 2022, Research for PECH Committee – Artificial Intelligence and the fisheries sector, European Parliament, Policy Department for Structural and Cohesion Policies, Brussels https://data.europa.eu/doi/10.2861/73456978-92-846-9454-9QA-07-22-325-EN-Nhttp://hdl.handle.net/2183/37640[Abstract] This study reviews current artificial intelligence (AI) systems legislation, the AI techniques definition proposed by the AI Act and main applications of AI methods in the fisheries sector with special focus on applications to enhance traceability of fishery products, fishing gear selectivity, good practices, and potential to help young people finding jobs. Finally, this study offers policy recommendations relevant to EU decision-making to achieve a better use of AI systems in the fisheries sector.engCreative Commons Attribution 4.0 InternationalReproduction and translation for non-commercial purposes are authorized, provided the source is acknowledged and the publisher is given prior notice and sent a copy. © European Union, 2022 © Cover image used under the licence from Adobe Stockhttp://creativecommons.org/licenses/by/3.0/es/Fisheries policyArtificial intelligenceDecision-makingFishery productFishing industryLegislationYoung workerbookopen access10.2861/73456