The Transformation of AI Governance Paradigm from a Risk Regulation Perspective

DOI

10.2991/978-2-38476-577-5_96How to use a DOI?

Keywords

Artificial Intelligence; Risk Regulation; Paradigm Shift; Ex-post Accountability; Precautionary Principle

Abstract

The fast development of artificial intelligence (AI) technology has been the driving force behind the promotion of the development of new quality productive forces; however, it has also brought many complicated risks, including data breach, discrimination, and the loss of safety control. This has imposed severe limitations on the conventional legal governance model, which mainly focuses on ex-post accountability. This article, from the perspective of the theoretical model of risk regulation, will discuss the inherent limitations of the conventional legal governance model in addressing the risks of AI technology, including the problems of lag regulation, unclear liabilities, and inadequate compensation. Furthermore, this article will propose a new model of legal governance, namely the new governance pathway, which will shift from the conventional model of 'ex-post accountability' to 'risk regulation.' This paradigm shift will include three major elements: the shift of the focus of legal governance from 'ex-post remedy' to 'risk regulation,' the shift of the model of legal regulation from 'outcome-based liability' to 'whole-life-cycle governance,' and the shift of the subjects of legal governance from 'state-dominated regulation' to 'collaborative governance.' By establishing a model of risk regulation based on the Chinese context, this article will promote the healthy development of AI technology in a safe, trustworthy, and beneficial way.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shuyuan Huang
PY  - 2026
DA  - 2026/05/15
TI  - The Transformation of AI Governance Paradigm from a Risk Regulation Perspective
BT  - Proceedings of the 2026 5th International Conference on Social Sciences and Humanities and Arts (SSHA 2026)
PB  - Atlantis Press
SP  - 956
EP  - 962
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-577-5_96
DO  - 10.2991/978-2-38476-577-5_96
ID  - Huang2026
ER  -