Business and Regulatory Responses to Artificial Intelligence: Dynamic Regulation, Innovation Ecosystems and the Strategic Management of Disruptive Technology
Mark Fenwick, Erik P. M. Vermeulen, Marcelo Corrales Compagnucci

TL;DR
This paper explores how dynamic regulation and innovation ecosystems can help businesses and regulators effectively manage the disruptive impact of AI, using Fintech as a key example.
Contribution
It introduces the interconnected strategies of proactive regulation and partnership-driven innovation ecosystems to enhance AI adoption and economic growth.
Findings
Jurisdictions with proactive Fintech regulation attract more investment.
Effective innovation ecosystems foster partnerships between corporations and startups.
Synergies between regulation and ecosystems create regional AI hubs.
Abstract
Identifying and then implementing an effective response to disruptive new AI technologies is enormously challenging for any business looking to integrate AI into their operations, as well as regulators looking to leverage AI-related innovation as a mechanism for achieving regional economic growth. These business and regulatory challenges are particularly significant given the broad reach of AI, as well as the multiple uncertainties surrounding such technologies and their future development and effects. This article identifies two promising strategies for meeting the AI challenge, focusing on the example of Fintech. First, dynamic regulation, in the form of regulatory sandboxes and other regulatory approaches that aim to provide a space for responsible AI-related innovation. An empirical study provides preliminary evidence to suggest that jurisdictions that adopt a more proactive…
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Taxonomy
TopicsEconomic Development and Digital Transformation · Economic and Technological Innovation · Digital Platforms and Economics
