Academic Publications

We contribute to the global discourse on AI governance and ethics through research in leading journals and conferences, connecting technical expertise with social science

2026 | Conference paper

Educating artificial intelligence for humanity and society

Lindgren Helena, Avidsson Matilda, van den Broek Elmira, Casey Donal, Coelho Mollo Dimitri, Colonna Liane, Fantasia Valentina, Foka Anna, Lorig Fabian, Rahm Lina, Sanches Pedro, Tucker Jason
Project: Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
Topics: Artificial Intelligence, education, curriculum design, cross-disciplinary education, AI literacy
2025 | Conference paper

AI adoption in public services

Khairova Nina, Dignum Virginia, Rizun Nina, Lopez-Vega Henry
Project: Umeå universitet
Topics: AI adoption, competency framework, expert workshop, responsible AI, Social Sciences
2025 | Other

AI chatbots are not therapists

Dignum Virginia, Ericson Petter, Tucker Jason
Topics: AI, Chatbots, Therapy, Mental Health, Regulation
2025 | Other

'AI first' to 'Purpose first'

Dignum Virginia, Carli Rachele, Ericson Petter, Titareva Tatjana, Tucker Jason
Topics: European Commission, European Union, Invest AI, Apply AI, AI First Policy
2025 | Conference paper

AI policy for whom?

Ericson Petter, Carli Rachele, Tucker Jason, Dignum Virginia
Project: Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
Topics: AI Policy, AI Governance, Critical AI Studies, Neoliberalism, Anti-capitalism
2025 | Report

Barriers to AI adoption in the Nordic health sector

Tucker Jason
Topics: Nordic, Health Sector, Artificial Intelligence, AI, Barriers
2025 | Article in journal

Chord types and figuration

Finkensiep Christoph, Ericson Petter, Klassmann Sebasian, Rohrmeier Martin
Project: EU, Horisont 2020 [760081- PMSB]
Topics: Bayesian modeling, Bayesian perception, chord profiles, figuration, harmony
2025 | Article in journal

Classification performance of supervised machine learning to predict human resource management outcomes

Vanhove Adam J., Graham Brooke Z., Titareva Tatjana, Udomvisawakul Alisa
Topics: artificial intelligence, big data, classification performance, machine learning, Natural Sciences
2025 | Conference paper

Contesting black-box AI decisions

Dignum Virginia, Michael Loizos, Nieves Juan Carlos, Slavkovik Marija, Suarez Julliett, Theodorou Andreas
Topics: algorithmic decision making, contestable AI, explainable AI, formal argumentation, Engineering and Technology
2025 | Conference paper

Designing explainable and counterfactual-based AI interfaces for operators in process industries

Zhang Yanqing, Methnani Leila, Brorsson Emmanuel, Zohrevandi Elmira, Darnell Andreas, Kucher Kostiantyn
Topics: Counterfactual Explanations, Explainable AI (XAI), Feature Importance, Human-Centered AI, Process Industry