{"id":1663,"date":"2025-03-20T12:23:23","date_gmt":"2025-03-20T12:23:23","guid":{"rendered":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/?p=1663"},"modified":"2025-03-20T12:24:55","modified_gmt":"2025-03-20T12:24:55","slug":"ia-interpretable-adios-a-las-cajas-negras-en-cosmologia","status":"publish","type":"post","link":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/ia-interpretable-adios-a-las-cajas-negras-en-cosmologia\/","title":{"rendered":"IA Interpretable: Adi\u00f3s a las CAJAS NEGRAS en Cosmolog\u00eda"},"content":{"rendered":"\n<p>Durante mucho tiempo, el Machine Learning se ha utilizado en cosmolog\u00eda como una especie de \u201ccaja negra\u201d: sabemos que funciona bien pero, \u00bfc\u00f3mo podemos asegurarnos de que la Inteligencia Artificial est\u00e1 aprendiendo \u201clo que queremos que aprenda\u201d? \u00bfC\u00f3mo comprender qu\u00e9 decisiones est\u00e1 tomando un determinado modelo?<\/p>\n\n\n\n<p>La herramienta que permite disponer de esta transparencia es la <strong>interpretabilidad.<\/strong> Aplicada a la cosmolog\u00eda y astrof\u00edsica, ha supuesto una revoluci\u00f3n en un campo en el que se toman, cada d\u00eda, mil terabytes de datos. En este v\u00eddeo, <strong>Indira Ocampo<\/strong> nos explica en qu\u00e9 consiste este innovador enfoque.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"nv-iframe-embed\"><iframe loading=\"lazy\" title=\"IA Interpretable: Adi\u00f3s a las CAJAS NEGRAS en Cosmolog\u00eda\" width=\"1200\" height=\"675\" src=\"https:\/\/www.youtube.com\/embed\/DZKlMikJeR0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><figcaption>V\u00eddeo realizado por: Indira Ocampo Justiniano. <br>Producci\u00f3n: \u00c1ngel Uranga, Laura Marcos. <br>Agradecimientos: Savvas Nesseris. <br>Miniatura: \u00c1ngel Uranga<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Durante mucho tiempo, el Machine Learning se ha utilizado en cosmolog\u00eda como una especie de \u201ccaja negra\u201d: sabemos que funciona bien pero, \u00bfc\u00f3mo podemos asegurarnos de que la Inteligencia Artificial est\u00e1 aprendiendo \u201clo que queremos que aprenda\u201d? \u00bfC\u00f3mo comprender qu\u00e9 decisiones est\u00e1 tomando un determinado modelo? La herramienta que permite disponer de esta transparencia es&hellip;&nbsp;<a href=\"https:\/\/projects.ift.uam-csic.es\/outreach_new\/ia-interpretable-adios-a-las-cajas-negras-en-cosmologia\/\" class=\"\" rel=\"bookmark\">Leer m\u00e1s &raquo;<span class=\"screen-reader-text\">IA Interpretable: Adi\u00f3s a las CAJAS NEGRAS en Cosmolog\u00eda<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":1667,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[19,12],"tags":[21,20],"class_list":["post-1663","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-divulgacion","category-videos","tag-divulgacion","tag-videos"],"_links":{"self":[{"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/posts\/1663","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/comments?post=1663"}],"version-history":[{"count":1,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/posts\/1663\/revisions"}],"predecessor-version":[{"id":1664,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/posts\/1663\/revisions\/1664"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/media\/1667"}],"wp:attachment":[{"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/media?parent=1663"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/categories?post=1663"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/projects.ift.uam-csic.es\/outreach_new\/wp-json\/wp\/v2\/tags?post=1663"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}