European Governance of Artificial Intelligence: Bridging Uncertainty With Evidence-Informed Policy Making

Abstract

This article explores the current challenges posed by the growing significance of Artificial Intelligence (AI) and considers potential regulatory changes to better manage this rapidly developing technology through evidence-informed policy-making. Current key challenges for governance discussed consider the ambiguous definition of AI, the assessment of its multifaceted impacts, the handling of inherent uncertainties, the reconciliation of regulation with innovation, and the pursuit of regulatory harmonization. We propose policy recommendations such as the application of Multi-Criteria Analyses, Sensitivity Analyses, and the implementation of Regulatory Sandboxes. Additionally, the paper highlights Europe's potential leadership role in fostering interoperability and harmonization within AI regulation and emphasizes Europe's contribution to promoting international regulatory harmonization.