Role of the state and responsibility in governing artificial intelligence: a comparative analysis of AI strategies

Christian Djeffal, Markus B. Siewert, Stefan Wurster

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Technologies based on artificial intelligence (AI) represent a crucial governance challenge for policymakers. This study contributes to the understanding of how states plan to govern AI with respect to the role they assume and to the way they develop AI in a responsible manner. In different policy instruments across 22 countries plus the European Union, there is considerable variation in how governments approach the governance of AI, both regarding the policy measures proposed and their focus on public responsibility. Analysing a set of policy instruments we find multiple modes of AI governance, with the major difference being between self-regulation-promoting and market-based approaches, and a combination of entrepreneurial and regulatory governance approaches. Our analysis also indicates that the approach to public responsibility is largely independent of the chosen policy mix of AI governance. Therefore, responsibility seems to be a cross-cutting issue that cannot be tied to a specific approach of states towards technology.

Original languageEnglish
Pages (from-to)1799-1821
Number of pages23
JournalJournal of European Public Policy
Volume29
Issue number11
DOIs
StatePublished - 2022

Keywords

  • AI governance
  • Artificial intelligence
  • policy instruments
  • responsible research innovation
  • state types
  • technology assessment

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