Governing data and artificial intelligence for all: Models for sustainable and just data governance
The EU still has work to do in conceptualising what kind of public good data should be. While the legal framework under construction articulates an aim of creating value from data for both public and private purposes, the mechanisms for arbitrating between these often conflicting aims are unclear and the balancing of public and private interests varies across legislative instruments
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.
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project report
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European Parliament / Panel for the Future of Science and Technology (STOA) (STOA)
The impact of the General Data Protection Regulation (GDPR) on artificial intelligence (STOA)