Synthetic Data: Facts, Representations, and Transparency
Synthetic data, computer‑made versions of real information, are becoming more common because they can be used to avoid some of the ethical and practical problems of using real-life data. But these AI‑generated versions of the world raise big questions about what counts as truth, how well they represent reality, and how transparent they should be.
How is synthetic data created and used, and how does this affect bias and representation? How do we know if synthetic data can be trusted? And what tools do we need to make synthetic data clear, transparent, and easy to check?
These are some of the questions explored by researchers in the WASP‑HS research environment Synthetic Data: Facts, Representations, and Transparency.
Research Leaders
Members
Md Fahim Sikder
Linköping University
Vera Danilova
Uppsala University
Postdocs and PhD Students
Alicja Ostrowska
MIT Massachusetts Institute of Technology,
Linköping University,
Södertörn University
Svea Kiesewetter
Södertörn University
Events
Selected Publications
(EXAMPLE) Andersson, P.E., Arbin, K. & Rosenqvist, C. (2025) Assessing the value of artificial intelligence (AI) in governmental public procurement, Journal of Public Procurement, 25(1),120-139. https://doi.org/10.1108/JOPP-05-2024-0057
(EXAMPLE) Arvidsson, M. & Larsson, S. (2025) Fulfilling the Christian mission through law: The Mission Covenant Church of Sweden as a legal actor in Congo 1881–1908. Studia Theologica. Epub ahead of print. https://doi.org/10.1080/0039338x.2025.2470720
(EXAMPLE) Arvidsson, M., (2025) On gardens of the Anthropocene: Gendered violence, colonial legal enclosures, and feminist posthuman kinship, Journal of Human Rights and the Environment, vol. 16, pp. 137–167. https://doi.org/10.4337/jhre.2025.00.11
