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Nordic AI University Network The Nordic Hub AI University Network is a collaborative initiative that connects universities across the Nordic and Baltic regions to foster innovation, knowledge sharing, and collaboration in the field of artificial intelligence (AI). This network brings together researchers, educators, students, and administrative staff to explore AI’s potential in teaching, research

https://www.ai.lu.se/about/partner/nordic-ai-hub - 2025-12-15

Technical innovations alone have proven to be insufficient to address the pressing challenges of today such as climate change, resource depletion, economic deprivation, poverty alleviation, increased migration and improved life quality. Therefore non-technical innovations are also required to enable transitions to more sustainable solutions. Social innovations include new solutions (products, serv

https://www.ai.lu.se/sites/ai.lu.se/files/2021-12/2021-12-08b%20Dalia%20Mukhtar-Landgren.pdf - 2025-12-17

Department of Arts and Cultural Sciences, Division of Ethnology Institutionen för kulturvetenskaper, Besöksadress  LUX, hus C, Helgonagatan 3, Lund Webbadress www.kultur.lu.se LITTERATURLISTA Sida 1 av 2 2 Sida 3 av 2 Kurslitteratur för (SASH61) Cultural Perspectives on Health, Lifestyle and Medicine, 7,5 hp, spring 2026 Established by the Department of Arts and Cultural Sciences 2014-02-03 Revise

https://www.kultur.lu.se/media/utbildning/dokument/kurser/SASH61/20261/2026_literature_SASH61.docx - 2025-12-16

As Artificial Intelligence (AI) is progressing to take over decision making in different industries, the threat that comes with the use of these systems is also increasing. One major threat is the risk of these systems acting biased, causing discrimination to parts of the population. To tackle the risk of AI systems acting biased it is important to understand how these biases originate in the firs

Kursen ger en introduktion till centrala idédiskussioner och utveckling inom GIS. Syftet är att introducera några av de viktigaste teorierna om och praktiska tillämpningarna av GIS. Under kursens gång blir studenterna uppmärksammade på potentialen hos GIS samt tillämpningar inom olika ämnesområden. De grundläggande principerna för GIS och centrala aspekter av den aktuellaste tekniken behandlas vidThe course aims to provide an introduction to the rapidly growing field of GIS, for students interested in applying it within their projects and research. It is strongly interdisciplinary in scope, and thus is appropriate for students from a diverse set of backgrounds. This would include students with undergraduate degrees in the social and human sciences, economics, sustainability and development

This interdisciplinary course focuses on feminist and gender theoretical interventions in other surrounding fields of study. We learn about the ways in which a focus on gender, along with race, class and sexuality, as the primary objects of study and categories of analysis, can contribute to developing theories anThis interdisciplinary course focuses on feminist and gender theoretical interventions in other surrounding fields of study. We learn about the ways in which a focus on gender, along with race, class and sexuality, as the primary objects of study and categories of analysis, can contribute to developing theories an

https://www.ai.lu.se/about/contact - 2025-12-15

https://www.ai.lu.se/AITV/about-ai - 2025-12-15

https://www.ai.lu.se/anamaria-dutceac-segesten - 2025-12-17

In recent decades, the enforcement of European Union (EU) law has transitioned from being primarily the responsibility of Member States to becoming an increasingly shared or centralised task at the EU level. Drawing on the concept of legal design patterns, this article presents these two broadly understood enforcement approaches as decentralised and centralised enforcement patterns, and examines t

Våra samhällen och liv är i allt större utsträckning datafierade, och formade av insamling, analys och användning av digitala data. Då detta föränderliga datalandskap innebär nya möjligheter till kunskap och handling, så medför det också nya former av svårigheter och risker. Denna kurs ger en introduktion till kritiska perspektiv på datafiering och hur det påverkar vårt sätt att leva och nå kunskaOur societies and lives are to an increasing extent datafied, and shaped by means of collecting, analysing and utilising digital data. As this transforming data landscape offers new opportunities for knowledge and action, it also involves novel forms of concerns and risks. This course offers an introduction to critical perspectives on datafication, how it impacts ways of knowing and living, and it

Recording from seminar 23 April 2025 Risks and Benefits of AI in Research: Ethical Perspectives" provides a forum to examine how artificial intelligence is transforming the research landscape.  It explores AI's potential to unlock new frontiers of knowledge, while addressing risks such as bias, misuse of data, and erosion of trust. Ethical perspectives guide discussions on accountability, transpar

https://www.ai.lu.se/2025-04-23 - 2025-12-15

https://www.lunduniversity.lu.se/lubas/i-uoh-lu-eaeco/what-audun-says-about-masters-economics - 2025-12-15

https://www.tos.lth.se/en/education/freestanding-courses - 2025-12-15

Integrationen av Artificiell Intelligens (AI) i läkemedelsutvecklingen medför betydande möjligheter och etiska utmaningar, särskilt med användning av komplexa "Black Box" AI-system. Denna studie undersöker hur läkemedelsindustrin hanterar etiska frågor kopplade till AI, med fokus på efterlevnad av EU:s regelverk, inklusive Assessment List for Trustworthy Artificial Intelligence (ALTAI) sThe integration of Artificial Intelligence (AI) into drug development introduces significant opportunities and ethical challenges, particularly with the use of complex "Black Box" AI systems. This study investigates how the drug development industry addresses ethical concerns associated with AI, focusing on compliance with European Union (EU) regulations, including the Assessment List fo

This thesis investigates the legal and ethical implications of generative artificial intelligence (AI) within the European Union copyright framework, with a particular focus on text and data mining (TDM) practices. It explores how AI systems are trained using vast datasets - often scraped from online content - raising concerns around authorship, consent, and the preservation of attribution. The st