Responsible AI research
Study how recommendation, personalization and generative AI shape choices, trust and information environments.
Explore research →I lead research and innovation at the intersection of recommender systems, computational user behaviour and trustworthy AI — turning rigorous evidence into technologies, organisations and real societal impact.

Full Professor at the University of Bergen and Founder & Director of SFI MediaFutures
What I do
My work connects rigorous behavioural research with responsible technology design, institutional leadership and practical implementation.
Study how recommendation, personalization and generative AI shape choices, trust and information environments.
Explore research →Build interdisciplinary teams, partnerships and long-term programmes that move ideas from evidence to field deployment.
See selected impact →Help leaders, product teams and public organisations turn complex AI questions into clear strategy and responsible decisions.
View services →Selected impact
As founder and director of SFI MediaFutures, I conceived and built a national research–industry ecosystem for responsible media technology. The centre’s outputs are collective achievements. My contribution combines direct research and scientific leadership with the vision, consortium-building, funding, agenda-setting and organisational infrastructure that enable researchers and partners to translate work into tools, pilots and practice.
Partner outcomes
Selected research-to-practice and partner-outcome cases documented through MediaFutures, from provenance and verification to recommendation systems tested with partner data and users.

A three-country study translated content credentials into evidence for newsroom and platform design.

Tools developed for conflict verification were used by fact-checkers and adopted by teams beyond Norway.

Responsible personalisation moved from models and prototypes into partner pipelines and live-platform evaluation.
Profile
Christoph Trattner is one of Europe’s leading experts and a research and innovation leader in responsible recommender systems, computational user behaviour, and trustworthy AI. With more than 20 years of experience at the intersection of academia, industry, and applied AI innovation, he helps organisations design, evaluate, and govern AI systems that influence human decision-making in high-impact domains such as media, health, food, and consumer behaviour.
He is a Full Professor at the University of Bergen, Director of the Research Centre for Responsible Media Technology & Innovation (SFI MediaFutures), and founder and leader of the DARS research group, Norway’s largest research group on recommender systems. He also leads the Norwegian Computational Behaviour & AI Lab, where interdisciplinary teams develop responsible AI solutions for real-world societal and business challenges. In addition, he is a founding member and board member of NoSoCSS, an interdisciplinary initiative advancing computational social science in Norway and beyond.
Trattner has initiated and led large-scale research and innovation collaborations involving startups, public-sector organisations, multinational companies, and policy stakeholders across Europe and the United States. He has also been invited by governments and public authorities to provide policy input, including by the Norwegian government to discuss research–industry collaboration. As founder and director of SFI MediaFutures, he conceived and built a national research–industry ecosystem that translates responsible AI research into practical technologies for journalism, media production, recommendation, fact-checking, accessibility, and democratic resilience.
Work with me on a keynote, advisory engagement or research collaboration →
Recent activity
A more curated news feed with direct links to papers, programmes, projects and the publication record.
At ACM UMAP 2026 in Gothenburg, our team presented three papers spanning trustworthy news personalisation, selective news avoidance and AI-generated recipes. Tobias Wessel presented work on fact-checked LLMs for editor trust, Svenja Lys Forstner presented INRA work on explanations for low-interest news, and Yelyzaveta Lysova presented work on how users overlook nutritional flaws in LLM-generated recipes.
Our SFI MediaFutures paper on why explanations for low-interest news fail to persuade selective news avoiders is now available in the ACM UMAP 2026 workshop proceedings.
A quasi-experimental feasibility study shows how recommender-based support and structured documentation can contribute to operator performance in medical communication centres.
Two Research Council of Norway mobility projects connected to SFI MediaFutures and UiB were awarded, strengthening work on AI transparency, media literacy, vaccine beliefs and trustworthy health communication.
New work examines editor trust in fact-checked LLM-supported news personalisation and how users overlook nutritional flaws in LLM-generated recipes.
NoSoCSS is a new interdisciplinary initiative advancing computational social science research at the intersection of data, AI, platforms and society.
Scholarship
Three recent studies spanning responsible media AI, user trust and health-related generative AI.

A study of how fact-checked LLM support can shape editor trust in personalised news systems.

Examining how people assess the nutritional quality of recipes produced by large language models.

A cross-country study of how content provenance labels influence trust in digital news platforms.