|Governing data and artificial intelligence for all: Models for sustainable and just data governance|
With a particular focus on artificial intelligence (AI), this study identifies and examines policy options for the EU's data governance framework that align with a data justice perspective. A data justice approach is one that centres on equity, recognition and representation of plural interests, and the creation and preservation of public goods as its principal goals. The analysis offers both an assessment of the EU data governance strategy overall and specific policy options for the AI act, the data governance act and the data act. Four benchmarks for good data governance are proposed, in line with the principles of justice: preserving and strengthening public infrastructure and public goods, inclusiveness, contestability and accountability, and global responsibility. Exploring examples of different governance models, we examine how these models and options intersect, and what lessons they offer for the EU case.