Multilateral Governance for the Digital Economy and Artificial Intelligence

Shiro Armstrong and Jacob Taylor

Discussion papers from Research Institute of Economy, Trade and Industry (RIETI)

Abstract: The digital economy and artificial intelligence (AI) play an increasingly pivotal role in global economic and societal value creation but lack multilateral rules. The current fragmented state of the global digital economy risks dampening digital and AI systems’ productivity growth potential and exacerbating their emerging risks. This paper provides three building blocks for new approaches to multilateral governance that can more evenly distribute the benefits of digital and AI systems while collectively managing their risks. First, it analyzes the economic logic of value creation in the digital economy and the policy dilemmas that this logic implies. Second, it identifies major economic and political challenges that impede efforts to advance multilateral governance, including concentration of power, protectionism, and exclusion in digital and AI systems. Third, it evaluates the potential of Digital Public Infrastructure (DPI)—an increasingly globally-recognized framework for promoting publicly guaranteed digital ecosystems—to serve as a foundation for more equitable, interoperable and inclusive global digital and AI governance. The paper concludes by identifying near-term opportunities for policymakers to align on shared multilateral principles while respecting all countries' domestic policy space.

Pages: 21 pages
Date: 2024-04
New Economics Papers: this item is included in nep-ain
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rieti.go.jp/jp/publications/dp/24e052.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eti:dpaper:24052

Access Statistics for this paper

More papers in Discussion papers from Research Institute of Economy, Trade and Industry (RIETI) Contact information at EDIRC.
Bibliographic data for series maintained by TANIMOTO, Toko ().