{"id":1647,"date":"2025-11-04T15:13:14","date_gmt":"2025-11-04T14:13:14","guid":{"rendered":"https:\/\/deep-xai.com\/?p=1647"},"modified":"2025-11-05T09:48:02","modified_gmt":"2025-11-05T08:48:02","slug":"regulacion-y-gobernanza-de-la-ia","status":"publish","type":"post","link":"https:\/\/deep-xai.com\/en\/regulacion-y-gobernanza-de-la-ia\/","title":{"rendered":"Artificial Intelligence Regulation and Governance"},"content":{"rendered":"<p class=\"wp-block-paragraph translation-block\">Artificial Intelligence (AI) is transforming every sector, from healthcare to finance. However, as algorithms take center stage in decision-making, the need to ensure that these technologies are safe, ethical, and understandable is also growing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">This is precisely the focus of the <em>Blue AI<\/em> podcast episode titled <strong>\u201cAI Regulation and Governance\u201d<\/strong>, where <strong><a href=\"https:\/\/es.linkedin.com\/in\/lidia-cerdn-orts-b91221119?trk=public_post_feed-actor-name\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Lidia<\/a><\/strong>, the host, speaks with <strong><a href=\"https:\/\/es.linkedin.com\/in\/teresa-jambrina-llorente-48303727\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Teresa Jambrina<\/a><\/strong>, Director of Corporate Legal and AI Governance at <strong>NTT DATA<\/strong>.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The episode addresses essential topics such as the role of law in artificial intelligence, European regulation (the AI Act), legal risks in business, and the importance of transparency and trust in AI development.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">At DeepXAI, we found this episode particularly relevant because it reflects a core idea that we also champion in our course, XAI Applied to Deep Learning.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Role of Law in Artificial Intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">During the conversation, Teresa Jambrina highlights a key point: the law cannot fall behind technological progress.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">AI introduces new ethical and legal dilemmas, such as accountability for automated decisions or model transparency, that require new regulatory frameworks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">Therefore, the role of law is not just to set limits, but to provide legal certainty to companies and users alike.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Regulation helps define responsibilities, protect rights, and prevent the misuse of technologies that, by their very nature, can directly impact people's lives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">In this sense, the law becomes an ally for the responsible development of AI. The key lies in finding a balance between innovation and protection: allowing technology to advance, but within well-defined ethical and legal boundaries.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The European Framework: The AI Act<\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">One of the central themes of the podcast is the European regulation of artificial intelligence, known as the AI Act. This regulation, driven by the European Union, seeks to establish a common framework for the safe, ethical, and transparent use of AI across member states.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">The AI Act classifies AI systems based on their risk level:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Unacceptable risk:<\/strong>Systems that pose a threat to fundamental rights (for example, cognitive manipulation or mass surveillance). These will be prohibited. <strong>prohibidos<\/strong>.<\/li>\n\n\n\n<li><strong>High risk:<\/strong>Applications in sensitive areas such as healthcare, education, or employment. They must comply with strict requirements regarding transparency, documentation, and human oversight. <strong>requisitos estrictos de transparencia, documentaci\u00f3n y supervisi\u00f3n humana<\/strong>.<\/li>\n\n\n\n<li><strong>Limited or minimal risk:<\/strong>: sistemas que podr\u00e1n usarse libremente, aunque se fomentar\u00e1 la <strong>autorregulaci\u00f3n \u00e9tica<\/strong>.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">This risk-based approach marks a turning point in AI governance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">For the first time, a global institution is establishing clear criteria to evaluate the trustworthiness and safety of intelligent systems. Even more importantly, the regulation champions a fundamental principle that also guides our work at DeepXAI: explainability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">AI systems will need to be understandable and auditable, ensuring that both developers and users can comprehend why an algorithm makes a specific decision.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Governance and Legal Risks in Business<\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">Another highlight of the episode is AI governance within organizations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">Having advanced models is not enough; companies need to establish control structures, internal policies, and supervision protocols to ensure the responsible use of technology.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Teresa Jambrina mentions that the primary legal risks for companies stem from three areas:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Lack of transparency<\/strong>: When algorithmic decisions cannot be explained.<\/li>\n\n\n\n<li><strong>Data bias<\/strong>: Which can lead to discrimination or unfair outcomes.<\/li>\n\n\n\n<li><strong>Absence of human oversight<\/strong>: Completely delegating decisions to a machine without critical human review.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">To mitigate these risks, companies must adopt active AI governance that includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Regular model audits.<\/li>\n\n\n\n<li>Multidisciplinary teams (legal, technical, and ethical).<\/li>\n\n\n\n<li>Clear documentation of the algorithm's lifecycle.<\/li>\n\n\n\n<li>Internal training on ethics and regulations.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">Governance is not just a bureaucratic formality; it is a competitive advantage. Companies that develop trustworthy AI aligned with regulations will be the ones that earn the trust of the market and their users.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Transparency and Trust: Pillars of Responsible AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">One of the greatest challenges of current AI is the opacity of its models. Deep learning systems, in particular, can act as \"black boxes\", they generate accurate results, but those results are difficult to explain.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">This is where Explainable AI (XAI) comes in, a field that seeks to make the internal reasoning of models visible, allowing humans and machines to work together.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">Transparency not only improves technical understanding but also strengthens trust. If a user or regulator can understand why a system made a decision, it becomes much easier to accept, validate, and improve it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">At DeepXAI, we believe that trust cannot be imposed; it must be built. And it is built by combining three pillars:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Ethics<\/strong>: Using data that respects human and social values.<\/li>\n\n\n\n<li><strong>Regulation<\/strong>: Complying with current laws and regulatory frameworks.<\/li>\n\n\n\n<li><strong>Explainability<\/strong>: Ensuring that AI is understandable, traceable, and verifiable.<\/li>\n<\/ol>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/deep-xai.com\/en\/curso-xai-aplicada-al-dl\/\">VIEW COURSE: XAI APPLIED TO DEEP LEARNING<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Toward an Ethical and Compliant Artificial Intelligence<\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">The conversation between Lidia and Teresa Jambrina on Blue AI highlights that the future of AI depends not only on technical breakthroughs but also on its ability to integrate into society ethically and legally.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">European regulation is a major step forward, but its success will depend on collaboration among tech experts, legal professionals, and business leaders.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI governance cannot be left to a single sector; it requires a cross-disciplinary vision that combines technical knowledge, legal criteria, and ethical sensitivity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">In this context, education is key. Professionals who understand the relationship between explainability, ethics, and regulation will be better equipped to lead AI projects that are transparent, trustworthy, and sustainable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">That is why at DeepXAI we promote educational initiatives like our XAI Applied to Deep Learning course, where we teach how to build explainable models that align with the principles of trust and responsibility promoted by the European Union.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Innovation, Yes But with Responsibility<\/h2>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">The debate over AI regulation is not about slowing down innovation, but about giving it direction and purpose.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">An artificial intelligence that is ethical, explainable, and subject to legal governance is not an obstacle to progress; it is the very foundation of its legitimacy.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Only then can technology contribute to human development without violating fundamental rights.<\/p>\n\n\n\n<p class=\"wp-block-paragraph translation-block\">The Blue AI episode reminds us that the future of AI will only be as positive as the responsibility with which we build it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That future begins today, with every ethical decision, every explainable model, and every company that commits to transparency.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You can watch the full video here:<\/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<span class=\"embed-youtube\" style=\"text-align:center; display: block;\"><iframe loading=\"lazy\" class=\"youtube-player\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/LF-VZpQyp9k?version=3&#038;rel=1&#038;showsearch=0&#038;showinfo=1&#038;iv_load_policy=1&#038;fs=1&#038;hl=en-US&#038;autohide=2&#038;wmode=transparent\" allowfullscreen=\"true\" style=\"border:0;\" sandbox=\"allow-scripts allow-same-origin allow-popups allow-presentation allow-popups-to-escape-sandbox\"><\/iframe><\/span>\n<\/div><\/figure>","protected":false},"excerpt":{"rendered":"<p>La inteligencia artificial (IA) est\u00e1 transformando todos los sectores, desde la medicina hasta las finanzas. Pero a medida que los algoritmos ganan protagonismo en la toma de decisiones, tambi\u00e9n crece la necesidad de garantizar que estas tecnolog\u00edas sean seguras, \u00e9ticas y comprensibles. Este es precisamente el enfoque del episodio del podcast Blue AI, titulado \u201cRegulaci\u00f3n [&hellip;]<\/p>\n","protected":false},"author":270924985,"featured_media":1646,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"entradas-blog","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1369],"tags":[],"class_list":["post-1647","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ia-responsable-y-etica"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - 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