Anamaria Dutceac Segesten
https://www.ai.lu.se/anamaria-dutceac-segesten - 2026-07-07
Filetype
https://www.ai.lu.se/anamaria-dutceac-segesten - 2026-07-07
https://www.ai.lu.se/about/contact - 2026-07-07
The purpose of this master thesis is to explore how platformization and artificial intelligence are reshaping power and governance in the digital economy, with a particular focus on the relationship between private technology companies and the public sector. Governments and institutions often present AI as necessary for innovation, economic growth, and efficiency, while researchers and representat
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 - 2026-07-07
The 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
Conversations on how AI is eroding human rights (and what we can do about it) Sue Anne Teo Raoul Wallenberg Institute of Human Rights and Humanitarian Law; Carr-Ryan Center for Human Rights Policy, Harvard Kennedy School Overview • Why talk about AI and human rights? o What are human rights? • AI and human rights benefits • AI and human rights concerns raised o Horizon scanning • Novel human right
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
https://www.ai.lu.se/node/1731 - 2026-07-07
https://www.ai.lu.se/node/1733 - 2026-07-07
https://www.ai.lu.se/2026-08-26/registration - 2026-07-07
https://www.ai.lu.se/2026-06-03/registration - 2026-07-07
As AI technologies continue to reshape the fashion industry, this paper examines how the role of designers istransforming, with a particular focus on the socio-technical and cultural implications of AI-driven design processes.Traditionally, fashion design has involved physical, tactile interactions with fabric and the human body. However, theintroduction of AI tools—capable of generating designs a