{"id":486,"date":"2025-07-15T09:34:47","date_gmt":"2025-07-15T08:34:47","guid":{"rendered":"https:\/\/research.dblue.it\/hucan\/?p=486"},"modified":"2025-07-15T11:58:53","modified_gmt":"2025-07-15T10:58:53","slug":"hucan-showcases-research-on-ai-automation-and-regulation-at-leading-aviation-conferences","status":"publish","type":"post","link":"https:\/\/research.dblue.it\/hucan\/2025\/07\/15\/hucan-showcases-research-on-ai-automation-and-regulation-at-leading-aviation-conferences\/","title":{"rendered":"HUCAN showcases research on AI, automation and regulation at leading aviation conferences"},"content":{"rendered":"<p data-start=\"490\" data-end=\"755\">HUCAN recently shared key insights from its research on <strong data-start=\"546\" data-end=\"564\">AI in aviation<\/strong> and <strong data-start=\"569\" data-end=\"597\">automation certification<\/strong> at two major international conferences, reinforcing its role in shaping future regulatory frameworks for a human-centric ATM system.<\/p>\n<p data-start=\"757\" data-end=\"1419\">On <strong data-start=\"760\" data-end=\"776\">25 June 2025<\/strong>, Domenico Pascarella [<a href=\"https:\/\/www.cira.it\/en\/\">CIRA<\/a>] presented the paper <em data-start=\"813\" data-end=\"909\">\u201c<span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/research.dblue.it\/hucan\/portfolio-items\/abstract-gaps-and-challenges-in-automation-assessment-to-support-human-centric-aviation-certification\/?portfolioCats=5%2C3%2C4%2C6\">Gaps and Challenges in Automation Assessment to Support Human-Centric Aviation Certification<\/a><\/strong><\/span>\u201d<\/em> at the <strong data-start=\"917\" data-end=\"984\"><a href=\"https:\/\/2025.hci.international\/\">Human-Computer Interaction International Conference<\/a> (HCII 2025)<\/strong>.<br data-start=\"985\" data-end=\"988\" \/>The paper builds on HUCAN\u2019s research exploring the link between <strong data-start=\"1052\" data-end=\"1073\">automation levels<\/strong> and future <strong data-start=\"1085\" data-end=\"1115\">certification requirements<\/strong> in <strong data-start=\"1119\" data-end=\"1134\">ATM systems<\/strong>. Using a set of case studies \u2013 including technologies such as <strong data-start=\"1197\" data-end=\"1228\">AI-based digital assistants<\/strong> \u2013 the work examines how automation can be assessed and classified. The goal is to support a consistent application of the <strong data-start=\"1351\" data-end=\"1369\" data-is-only-node=\"\">EASA AI levels<\/strong> in aviation <strong data-start=\"1382\" data-end=\"1418\">research and innovation projects<\/strong>.<\/p>\n<p data-start=\"1421\" data-end=\"1994\">Earlier, on <strong data-start=\"1433\" data-end=\"1449\">11 June 2025<\/strong>, Elisa Spiller [<a href=\"https:\/\/dblue.it\/en\/\">Deep Blue<\/a>] participated in the <a href=\"https:\/\/fsr.eui.eu\/event\/2nd-florence-aviation-regulation-conference\/\"><strong data-start=\"1486\" data-end=\"1533\">2nd Florence Aviation Regulation Conference<\/strong><\/a>, presenting the paper <em data-start=\"1556\" data-end=\"1640\">\u201c<span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/research.dblue.it\/hucan\/portfolio-items\/abstract-towards-the-implementation-of-the-ai-act-in-aviation-challenges-and-strategies\/?portfolioCats=5%2C3%2C4%2C6\">Towards the Implementation of the AI Act in Aviation: Challenges and Strategies<\/a><\/strong><\/span>.\u201d <\/em>The study focuses on the intersection between the <a href=\"https:\/\/eur-lex.europa.eu\/eli\/reg\/2024\/1689\/oj\/eng\"><strong data-start=\"1693\" data-end=\"1706\">EU AI Act<\/strong><\/a> and the current <strong data-start=\"1723\" data-end=\"1756\">aviation regulatory framework<\/strong>, highlighting how the AI Act can inform and support the development of sector-specific rules. It also addresses the need for future alignment between the AI Act and aviation regulations, as outlined in <strong data-start=\"1959\" data-end=\"1975\">Article 2(2)<\/strong> of the Regulation.<\/p>\n<p data-start=\"1996\" data-end=\"2189\">Both contributions align with the objectives of the <a href=\"https:\/\/www.easa.europa.eu\/en\/newsroom-and-events\/news\/easa-artificial-intelligence-roadmap-20-published\"><strong data-start=\"2048\" data-end=\"2067\">EASA AI Roadmap<\/strong><\/a>, supporting a <strong data-start=\"2082\" data-end=\"2152\">coherent and forward-looking approach to AI regulation in aviation<\/strong>, as capabilities continue to evolve.<\/p>\n<p data-start=\"2191\" data-end=\"2363\">These international engagements underscore HUCAN\u2019s commitment to advancing knowledge and supporting the safe and effective integration of <strong data-start=\"2329\" data-end=\"2362\">AI and automation in aviation<\/strong>.<img decoding=\"async\" class=\"aligncenter wp-image-492 size-full\" src=\"https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news.png\" alt=\"\" width=\"1748\" height=\"1240\" srcset=\"https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-200x142.png 200w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-300x214.png 300w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-400x284.png 400w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-600x426.png 600w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-768x545.png 768w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-800x568.png 800w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-1024x726.png 1024w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-1200x851.png 1200w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news-1536x1090.png 1536w, https:\/\/research.dblue.it\/hucan\/wp-content\/uploads\/sites\/15\/2025\/07\/photo-news.png 1748w\" sizes=\"(max-width: 1748px) 100vw, 1748px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>HUCAN recently shared key insights from its research on AI  [&#8230;]<\/p>\n","protected":false},"author":13,"featured_media":490,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,7],"tags":[37,38,40,39],"class_list":["post-486","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events","category-news","tag-ai-in-aviation","tag-automation-certification","tag-easa-ai-roadmap","tag-eu-ai-act"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - 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