Artificial intelligence and data governance in public administration: reflections and evidence for its development
DOI:
https://doi.org/10.24965/gapp.i26.10855Keywords:
Artificial Intelligence, Data Governance, Public AdministrationAbstract
The development and integration of Artificial Intelligence (AI) at a transversal level in public sector organizations, transcending specific initiatives of a sectoral nature, requires new capabilities. The review of different approaches that address this issue highlights the importance of data and, more specifically, its governance in public administrations. To delve into this, the different dimensions of data governance are analyzed and five components are identified for its development: strategy, data architecture and infrastructure, organization (including structure and processes), talent and professionals’ competencies’ management and the organization’s relationship model with its environment. Through conceptual reflection and its application to a case study of the Barcelona City Council, with contributions to the different components, we can highlight learnings and formulate proposals for each of them. The conclusions address the need for an integrated institutional strengthening strategy that relates the different components of data governance linked to the development of Artificial Intelligence in the public sector.
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