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Interdisciplinary expert pool for NLU

This project aims to establish and test a new form of cross-disciplinary collaboration for accelerating applied AI in the context of AI-driven language technology: The Interdisciplinary Expert Pool for Natural Language Understanding (NLU).
Interdisciplinary expert pool for NLU


The development of large language models prompts more challenges than purely technological. Questions of data, representation, fairness, equality, and ethics are implicit and relevant to all projects in AI Sweden’s language technology portfolio and within the NLU/NLP ecosystem more broadly. 

This project addresses the lack of a suitable response. So far, resources to tackle these issues in depth have not been readily available within the scope of technological projects. Secondly, the project is a reaction to international (mainly US-centered) debates about the risks and limitations of language models.

Project and expected outcomes

The project aims to leverage the existing knowledge of researchers from the humanities and social sciences as well as civil society actors when needed to solve concrete questions and challenges that arise in the development of foundation models.

AI Sweden will invite subject matter experts to be involved in the development pipeline of foundation models, considering questions regarding the training data and, consequently, the safe deployment as well as the social, cultural, and economic implications of foundation models such as GPT-SW3.

The project’s key innovation is to systematically and at scale involve subject matter experts in the development pipeline of foundation models, leverage existing domain knowledge, and together work on applied challenges and “big” questions based on concrete use cases and needs. The expert pool will provide a platform for knowledge exchange and readily available resources to quickly and effectively tackle data, representativeness, equality, and ethics issues.

The members of the Interdisciplinary Expert Pool for NLU

Researchers and individual members

Name Title University/Organization Area of interest/discipline
Kristy Beers Fägersten Professor of English Linguistics Södertörn University Linguistics, swearing, offensive language
Mats Fridlund Deputy Director Gothenburg Research Infrastructure in Digital Humanities (GRIDH), University of Gothenburg Digital history, science and technology studies, digital humanities
Erik Winerö Teacher/PhD-student University of Gothenburg Primarily AI's effect on assessment practices in education
Ylva Söderfeldt Associate professor Uppsala university History
Anna Metreveli PhD Student Stockholm University AI ethics
Michał Dzieliński Assistant professor Stockholm University Economics/Finance
Jacob Strandell Consultant, PhD Ungdomsbarometern AB Cognitive Sociology
Mathilda Åkerlund Postdoctoral Researcher (Dr.) Umeå University Digital sociology; Internet Research; Politics; Far right
Eric Orlowski Doctoral Candidate/Doktorand University College London/Uppsala University Social & Cultural Anthropology
Jonas Svensson Professor Linnaeus university Study of Religions, Islamic Studies
Jenny Björklund Professor Uppsala University Gender Studies
Karl Berglund BUL/Assistant Professor Department of Literature, Uppsala University Computational text analysis, especially narrative analysis
Jonas Andersson Schwarz Associate Professor Södertörn University Media & communications studies
Dimitri Coelho Mollo Assistant Professor Umeå University Philosophy of AI and Cognitive Science
Annika Raapke PhD Uppsala University History
Mariana S. Gustafsson Associate professor Linköping University Political science and AI: politics, governance, equality, democracy
Daniel Brodén Researcher University of Gothenburg Digital humanities
Michael McGuire Research Engineer University of Gothenburg Computational Linguistics/Digital Humanities
Maria Toledo Researcher Independent research Cultural Heritage, Digital Repositories, Museology, Digital Humanities
Dag Blanck Professor Uppsala University History/American Studies
Peter Berck Research Engineer Lund University Natural Language Processing
Katja Sarajeva Programme Manager Transparency & Accountability Stockholm University, SPIDER Digitalisation and inclusion, ethics, diversity and technology
Theo Röhle Associate Professor University of Gothenburg Media and Communication Studies
Jan von Bonsdorff Professor Uppsala University Art history
Gustav Juntti Freelance journalist Freelance journalist AI policy
Mårten Hoffman Chief Development Officer Grant Thornton Information Technology Governance, Digital Workspace development, Use of technology for improved service delivery, efficiency and work environment

Civil society organization representatives

Name Title Organization Field of expertise
Terese Raymond National coordinator of a network Sambruk/ Digital inclusion, participatory research
Måns Jonasson Internet expert Internetstiftelsen Internet use, human online experience
Maria Jacobson Communication officer Antidiskrimineringsbyrån Väst (Anti-Discrimimination Agency West Sweden) Language, human rights, discrimination, bias, norm critique
Jannike Tillå VP Communications and Public Benefit Internetstiftelsen Communications, digital source criticism
Coppélie Cocq Professor Humlab, Umeå University Digital media ethics, minority studies, ethnology
Elias Ibrahim DEI consultant Make Equal Discrimination law
Cia Bohlin Head of Digital Competence & Insights Internetstiftelsen Digital Competence
Beatrice Nordling Expert in economics Sveriges Kvinnoorganisationer Economics
Richard Brattlund Web Project Manager Internetstiftelsen Web development, IT infrastructure, project management

Descriptions of organizations and biographies of the members of the Interdisciplinary Expert Pool can be found here.


Do you want to join the Interdisciplinary Expert Pool as a researcher or civil society organization?
Sign up here


Project period: November 2022 - October 2023

Project partners: See list of members of the Expert Pool above.

The project is funded by Vinnova and coordinated by AI Sweden.


 Training Material for the Interdisciplinary Expert Pool for Natural Language Processing (NLU)

Training Material for the Interdisciplinary Expert Pool for NLU

This training material provides introductory resources for anyone who would like to gain knowledge of Large Language Models, with special attention to the ethical aspects of this technology. The material is aimed at both a technical and a non-technical audience. It consists of both essential and more advanced resources in the form of readings, podcasts, open courses, videos and book.

The material is available on our online community MyAI. Create a free account to gain access to the material.

Alternatively, the material is available as a presentation in the link below 'To the presentation'.

This list has been compiled for the Interdisciplinary Expert Pool for NLU project.

To the presentation


Are you interested in getting involved in cross-disciplinary collaboration in the context of AI-driven language technology? Please contact Francisca Hoyer to learn more.

Head of Responsible AI and Operations NLU, PhD

Francisca Hoyer

Senior Data Manager

Danila Petrelli