Algorithms, Data, and Platforms: The Diverse Challenges of Governing AI

Journal of European Public Policy

26 Pages Posted: 15 Mar 2021

See all articles by Mark Nitzberg

Mark Nitzberg

University of California, Berkeley

John Zysman

University of California, Berkeley

Date Written: March 10, 2021

Abstract

Artificial Intelligence (AI) poses interwoven challenges. Defined as technology that uses advanced computation to perform at human cognitive capacity in some task area, AI must be regulated in the context of its broader toolbox - algorithms, data and platforms - and its regulation must be sector-specific. Establishing national and community priorities on how to reap AI’s benefits, while managing its social and economic risks, is an evolving debate. Digital Platform Firms are a fundamental driver of AI tools: they dominate the playing field and often pursue priorities outside the frames of the public sector and of civil society. While its governance is critical to national success, AI pries open a Pandora's box of questions that sweep across the economy and society, engaging diverse communities. Rather than a single, global ethical framework, one must consider how to pursue objectives of interoperability amongst nations with quite different political economies.

Keywords: Artificial Intelligence, Governance, Emerging Technologies, Digital Platforms

Suggested Citation

Nitzberg, Mark and Zysman, John, Algorithms, Data, and Platforms: The Diverse Challenges of Governing AI (March 10, 2021). Journal of European Public Policy, Available at SSRN: https://ssrn.com/abstract=3802088 or http://dx.doi.org/10.2139/ssrn.3802088

Mark Nitzberg

University of California, Berkeley ( email )

310 Barrows Hall
Berkeley, CA 94720
United States

John Zysman (Contact Author)

University of California, Berkeley ( email )

310 Barrows Hall
Berkeley, CA 94720
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
269
Abstract Views
769
Rank
172,503
PlumX Metrics