Current Fellows
Lucas is a research assistant at Aalborg University and researches digital technologies, learning and collaboration.
In his CAISA Fellowship, Lucas investigates how artificial intelligence can be used to support fair, consistent and transparent judgment in oral examinations.
Aysel er adjunkt i jura, menneskerettigheder og digitalisering ved Københavns Universitet. Hendes forskning fokuserer på, hvordan digitale teknologier og kunstig intelligens i den offentlige sektor påvirker rettigheder, forvaltning og offentlig beslutningstagning. Hun er medstifter af Danmarks første database over brugen af AI i den offentlige sektor.
I sit CAISA Fellowship arbejder Aysel med at videreudvikle databasen som en bæredygtig gennemsigtigheds- infrastruktur, der understøtter offentlig kontrol med algoritmisk forvaltning og den nationale debat om digital suverænitet.
Ilker is a postdoc in the Language and Multimodal Processing Group at the Department of Computer Science at the University of Copenhagen. His primary research focuses on natural language processing (NLP), with particular interest in pixel-based language modeling and multimodal learning.
In her CAISA fellowship, Ilker investigates how generative multimodal AI models moderate content about political and public figures. He maps biases across countries and models and contributes new knowledge on political bias in generative AI.
Agnete Meldgaard Hansen is an Associate Professor at the Department of People and Technology at Roskilde University. Her research focuses on care work in the healthcare and elderly care sectors, with a particular emphasis on how new technologies, including artificial intelligence (AI), influence care practices, relationships, and ethics.
As part of her CAISA Fellowship, Agnete examines the ethical implications of AI in elderly care and compiles existing knowledge into a practice-oriented research brief. Through interviews with municipalities and key stakeholders, she identifies and explores the ethical dilemmas that arise when AI is integrated into care work - contributing to a more nuanced and informed debate on responsible AI in Danish elderly care.
Anja is a Professor of Media Studies and Director of DATALAB at Aarhus University. Her research focuses on how AI-driven algorithms shape collective behaviour and democratic processes, and she has played key roles in international expert groups on disinformation and digital democracy. She currently chairs the EU Code of Practice on transparency in AI-generated content.
As part of her CAISA Fellowship, Anja is working to finalise the EU Code of Practice, which will guide companies in complying with AI regulation and transparency requirements. The work involves ongoing dialogue with industry, civil society, and academia, as well as input from EU Member States and institutions ahead of its publication in June 2026.
Samuel Rhys Cox researches human-centred AI, with a particular focus on conversational agents and chatbots. His work explores how AI systems can be designed to support people in sensitive and reflective contexts, including health, well-being, and creative practices.
As part of his CAISA Fellowship, Samuel investigates how the framing and presentation of a chatbot’s memory and data retention influence users’ comfort, privacy perceptions, and willingness to self-disclose.
CAISA actively prioritises international engagement and welcomes opportunities to present our distinctive interdisciplinary AI research model.
We have met with delegations from countries including Norway, Estonia, and Germany. Most recently, we hosted Nigeria's Minister of digital affairs, Innovation and Digital Economy, H.E. Dr Bosun Tijani, and his delegation. The Nigerian delegation shared their strategic plans to install 90,000 km of fibre-optic cables to strengthen national digital infrastructure, as well as the strong enthusiasm for AI among Nigeria’s young population.
Among other things, CAISA highlighted the importance of research on how artificial intelligence can be developed and applied in a responsible and democratic way.
CAISA is proud to announce that our Deputy Director, Thomas Moeslund, has been appointed as a new member of the Danish Data Ethics Council. The appointment reflects his longstanding contributions to research in artificial intelligence and computer vision, as well as his strong commitment to resonsible AI and ethical technology development.
As a professor at Aalborg University and an internationally recognised researcher, Thomas has worked extensively on the intersection between advanced algorithmic methods and their societal implications. His research spans from foundational methodological development to applied AI solutions, with a focus on transparency, fairness, autonomy, and long-term impact.
Data ethics as the foundation for responsible AI
At a time when developments in artificial intelligence are advancing faster than both regulation and society’s shared understanding, the need for strong data ethics and responsible AI governanceis becoming increasingly urgent. Manipulated content, automated decision-making, and new applications of generative AI are creating significant challenges for citizens, businesses, and policymakers alike.
Thomas Moeslund highlights the importance of a robust ethical foundation:
“Data ethics, for me, is not an afterthought, but an integral part of the research, development and implementation of technology.” (Translated)
His perspective emphasizes that responsible AI cannot be separated from technical development, but must be embedded from the outset - from datasets and model design to implementation and real-world use.
The role of the Council in a complex technological landscape
As a member of the Danish Data Ethics Council, Thomas Moeslund will play a key role in addressing the ethical challenges arising from the rapid development of artificial intelligence (AI). This includes issues related to misinformation, algorithmic bias, and the impact of AI systems on democratic processes and societal structures.
On the Council's role, Thomas explains:
“The Council can act as a bridge between technical experts, policymakers, businesses, and citizens - both by establishing shared ethical standards and proactive solutions before problems escalate, and by communicating these issues to the broader public.” (Translated)
His appointment brings a strong technological and research-based perspective to the Council, helping to ensure a responsible and human-centred development and use of AI in Denmark.
CAISA's perspective
At CAISA, we work to advance human-centred and responsible AI, and the appointment of Thomas Moeslund reflects exactly the type og expertise needed to develop AI solutions that are both technically advanced and ethically robust.
We look forward to contributing to this work through research-based insights and interdeciplinary perspectives from CAISA - and to follow Thomas's important role in shaping Denmark's national data ethics agenda.
This research brief presents a systematic literature review of what current research literature conveys about the implementation and use of chatbots in public sector workflows and in interactions with citizens. The purpose of this research brief is to identify and analyze both the opportunities and challenges within this domain through a systematic synthesis of existing empirical research on the implementation and use of, as well as citizens’ attitudes toward and experience with, chatbots in the public sector. The brief shows that chatbots can contribute effectively to certain tasks in the public sector; however, they also generate new work and shifts in responsibilities for workers. From citizens’ perspective, research finds that well-educated, younger, and resourceful citizens are more likely to trust and have positive experiences with chatbots when interacting with public authorities, whereas for others, e.g., citizens with disabilities or citizens with more complex requests and challenges, chatbots create new friction in their encounters with the public sector. This may reinforce existing social and digital inequalities within the population.
