{"id":24366,"date":"2026-05-26T15:45:36","date_gmt":"2026-05-26T13:45:36","guid":{"rendered":"https:\/\/www.uni.lu\/snt-en\/?post_type=news&p=24366"},"modified":"2026-05-27T09:10:07","modified_gmt":"2026-05-27T07:10:07","slug":"partnership-day-2026-building-trustworthy-ai-together","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/snt-en\/news\/partnership-day-2026-building-trustworthy-ai-together\/","title":{"rendered":"Partnership day 2026: building trustworthy AI together"},"content":{"rendered":"\n
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Over 700 people came to the convention centre to find out: can you trust AI? They left with a much clearer idea of what that actually means. <\/strong><\/p>\n\n\n\n

The SnT Partnership Day 2026 brought together researchers, industry leaders, policymakers, and public institutions around the theme Building trust in AI<\/em>. The talks included an opening address from Luxembourg\u2019s Minister for Higher Education and Research, Stephanie Obertin, and a keynote from Guillaume Bour, Vice President EMEA at Mistral AI. All the speakers and hands-on technology demonstrations aimed to energise participants for the work needed to align AI with European values and societal needs. <\/p>\n\n\n\n

\u201cTrust is very strongly embedded into our human nature,\u201d said Prof. Yves Le Traon, Director of SnT. \u201cWe cannot easily separate the emotional part from the objective part.\u201d Using the comparison of a dog and an AI chatbot, Le Traon highlighted the responsibility users have to remain critical of AI systems, as well as SnT\u2019s commitment to building transparent technologies. <\/p>\n\n\n

\n \n\"Prof.

\n Prof. Yves Le Traon <\/p>\n <\/figure>\n\n\n

As algorithms increasingly influence decision making and critical systems, all speakers stressed that trustworthy AI is not only a technical challenge, but also a human one. Building trust, they argued, requires people and institutions to remain capable of understanding, questioning, regulating, and shaping these systems. <\/p>\n\n\n\n

\nBuilding an ecosystem that supports human agency<\/h2>\n\n\n\n

In his opening remarks, Prof. Jens Kreisel, Rector of the University of Luxembourg, described Partnership Day as a reflection of Luxembourg\u2019s growing research and innovation ecosystem. He stressed the role that collaboration plays in navigating technological transformation, and how bringing such a diverse range of expertise together is crucial.  <\/p>\n\n\n\n

\u201cYou will see today the powerhouse of research and innovation in the field of digitalisation in Luxembourg,\u201d he said. \u201cYou will see the excitement and energy of the researchers of the University and SnT, and you will meet people who are an essential part of an ecosystem.\u201d <\/p>\n\n\n\n

Kreisel then welcomed Luxembourg\u2019s Minister for Higher Education and Research, Stephanie Obertin, who framed 2026 as \u201ca year to deliver.\u201d <\/p>\n\n\n\n

Looking across the demonstrations and research projects presented during the event, Obertin stressed the importance of ensuring that innovation translates into practical benefits for society. <\/p>\n\n\n\n

\u201cWe count on SnT to become a national AI champion, a key driver of excellence, collaboration, and impact in artificial intelligence,\u201d she said. \u201cA champion that connects fundamental research with application, builds bridges across institutions, including with public research centres, and operates as an open model both within the university and beyond.\u201d <\/p>\n\n\n\n

The discussion around agency and competitiveness continued in remarks from Dr. Carlo Duprel, Head of SnT\u2019s Technology Transfer Office, and moderator of the event. Reflecting on Europe\u2019s innovation landscape, he argued that Europe must improve its ability to move research into practical deployment more quickly and effectively. <\/p>\n\n\n\n

\u201cOne element that is repeatedly criticised in Europe, and rightfully so in my opinion, is that it is more difficult to transfer public research into commercialisation and innovation,\u201d he said. It needs to be clearer and easier for universities and public research organisations to transfer research results. And this is what we try to do at SnT, transferring the knowledge that we generate into the economy.\u201d <\/p>\n\n\n\n

The question was not whether organisations would adopt AI. It was whether they would understand what they were adopting. <\/p>\n\n\n\n

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