{"id":15597,"date":"2026-05-08T09:44:21","date_gmt":"2026-05-08T07:44:21","guid":{"rendered":"https:\/\/smartcoworking.ad\/event\/legal-side-ai-smart-coworking\/"},"modified":"2026-05-21T09:57:37","modified_gmt":"2026-05-21T07:57:37","slug":"legal-side-ai-smart-coworking","status":"publish","type":"tribe_events","link":"https:\/\/smartcoworking.ad\/fr\/event\/legal-side-ai-smart-coworking\/","title":{"rendered":"The Legal Side of AI &#8211; SMART COWORKING"},"content":{"rendered":"<h3>Compliance as Evidence Engineering: AI, Copyright and Civil Liability for Developers &#8211; SMART Coworking<\/h3>\n<p><span data-teams=\"true\"> 04 of June 2026 \u2013 45-minute talk followed by a question and answer session<\/span><\/p>\n<p>Speaker: Miguel \u00c1ngel Rodriguez Santana<br \/>\nLegal Counsel at PI Advocats &amp; AI Mentor\/ PhD<\/p>\n<p>Language of the talk: English<\/p>\n<p><strong>Description:<\/strong><\/p>\n<p>As AI systems face growing legal scrutiny, the question is no longer \u00ab\u00a0<em>do we have a policy?<\/em>\u00a0\u00bb \u2014 it&rsquo;s \u00ab\u00a0<em>can we prove it?<\/em>\u00a0\u00bb<\/p>\n<p>This session breaks down the two core legal risks every AI team faces: copyright exposure (were you allowed to use those inputs?) and civil liability (who is responsible when something goes wrong?). And more importantly, how to engineer your way out of both.<\/p>\n<p>We&rsquo;ll move beyond checklists and disclaimers to explore what real legal defensibility looks like in practice \u2014 from data lineage and licence hygiene to safety-case documentation and incident records. Whether you&rsquo;re building RAG pipelines, fine-tuning on client data, or shipping AI-powered products to EU markets, the same artefacts that keep you out of court also make your systems more trustworthy and debuggable.<\/p>\n<p><strong>You&rsquo;ll walk away with:<\/strong><\/p>\n<ul>\n<li>A clear framework for copyright and liability evidence<\/li>\n<li>Practical guidance on what records to maintain \u2014 and why missing ones are a risk in themselves<\/li>\n<li>A real-world case study in evidence reconstruction after things go wrong<\/li>\n<\/ul>\n<p><strong>The new standard isn&rsquo;t just that your AI works. It&rsquo;s that you can prove how, why, and with what risks.<\/strong><\/p>\n<p><a href=\"https:\/\/smartcoworking.ad\/legal-side-ai-june-2026\/\">Confirm your attendance<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As AI systems face growing legal scrutiny, the question is no longer \u00ab\u00a0do we have a policy?\u00a0\u00bb \u2014 it&rsquo;s \u00ab\u00a0can we prove it?\u00a0\u00bb<\/p>\n<p>This session breaks down the two core legal risks every AI team faces: copyright exposure (were you allowed to use those inputs?) and civil liability (who is responsible when something goes wrong?). And more importantly, how to engineer your way out of both.<\/p>\n","protected":false},"author":5,"featured_media":15672,"template":"","meta":{"_acf_changed":false,"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[384],"class_list":["post-15597","tribe_events","type-tribe_events","status-publish","has-post-thumbnail","hentry","tribe_events_cat-conferences-fr-2","cat_conferences-fr-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>SMART Coworking - The Legal Side of AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/smartcoworking.ad\/fr\/event\/legal-side-ai-smart-coworking\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SMART Coworking - The Legal Side of AI\" \/>\n<meta property=\"og:description\" content=\"As AI systems face growing legal scrutiny, the question is no longer &quot;do we have a policy?&quot; \u2014 it&#039;s &quot;can we prove it?&quot;  This session breaks down the two core legal risks every AI team faces: copyright exposure (were you allowed to use those inputs?) and civil liability (who is responsible when something goes wrong?). 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