Cultura y Educación

The aim of this book is to provide valuable insights into the impact of eTwinning on education and innovation, and to inspire teachers to unleash their creativity with eTwinning.

El Grupo BEI está respondiendo a las múltiples crisis que afronta la Unión Europea (el cambio climático, la guerra de Ucrania y la inseguridad energética) realizando inversiones sostenibles que contribuirán a la transición ecológica y estimularán la innovación. Algunos datos clave del nuevo Informe de Sostenibilidad: El Grupo BEI ha financiado 222 000 millones de euros en inversiones verdes desde 2021, lo que nos acerca al objetivo del Grupo de invertir 1 billón de euros en acción por el clima y sostenibilidad medioambiental de aquí a 2030. En 2022 financiamos 36 600 millones de euros en acción por el clima y sostenibilidad medioambiental, lo que nos sitúa en la senda de dedicar la mitad de toda la financiación a estos ámbitos. El Fondo Europeo de Inversiones destinó 9.200 millones de euros a pequeñas empresas y proyectos climáticos y de infraestructuras en 2022. El Informe de Sostenibilidad debe leerse conjuntamente con sus dos anexos, las divulgaciones GRI y SASB, así como con el informe TCFD 2022 del Grupo BEI.

Given the great influence of artificial intelligence (AI) in people’s daily lives due to the key role it plays in digital transformation through its automated decision-making capabilities, ENISA aims to raise awareness of cybersecurity and privacy threats related to various scenarios using artificial intelligence. To this end, ENISA, with the support of the Ad-Hoc Working Group on Artificial Intelligence Cybersecurity, has published two reports in the last two years: Cybersecurity Challenges of Artificial Intelligence1 and Securing Machine Learning Algorithms2. ENISA continues its momentum with a new report on cybersecurity and privacy in medical imaging diagnosis, which is supported by AI. An in-depth study of the scenario has been conducted by identifying first the assets, the actors and their roles, relevant processes, the AI algorithms used, as well as the requirements in terms of cybersecurity and privacy needed for it. Building upon previous ENISA work such as the “Securing Machine Learning Algorithms” report cited above, in addition to legislation such as GDPR and literature searches, this report has identified cybersecurity and privacy threats and vulnerabilities that can be exploited in the examined scenario.