13569: Regulate or Innovate in Artificial Intelligence? Mapping Contingent Risks and Oversight Needs (session 26204)

Monday, July 28, 2025

08:30 - 10:00 CEST (GMT+2)

Location: Bella Center: Hall D- D4-m1

Session Type: Paper Session
Orientation: Research
Shareable link: https://cdmcd.co/Gw6D5v

Author(s)

XF

Xavier Ferràs-Hernández

ESADE Business School - Ramon Llull Univeristy, Spain
PN

Petra Nylund

University of Stuttgart, Germany
RG

Roberto Martin Nolan Galang

Ateneo de Manila University - Quezon City, Philippines
AB

Alexander Brem

U. of Suttgart, Germany

AI is perhaps the most disruptive technology of our era, and debates are intensifying over its reliability, explainability, and inherent risks. How should artificial intelligence (AI) be subject to regulation or, at least, human supervision? While major powers, especially the United States, China, and Europe, have initiated legislative processes to regulate AI, excessive regulation may undermine AI’s innovative dynamics. We propose a framework to determine which systems require human oversight and what regulatory implications might be. This article sheds light on AI’s risks, supervision needs, and regulatory implications, using a segmentation of AI systems along two axes: degree of criticality (impact on individuals or institutions) and immediacy (velocity of system response). Using the theory of responsive regulation, we link the taxonomy of AI systems with the subsequent types of regulation that each AI category requires.

view paper (if available)