AI-Mediated Explainable Regulation for Justice
Present practice of deciding on regulation faces numerous problems that make adopted regulations static, unexplained, unduly influenced by powerful interest groups, and stained with a perception of illegitimacy. These well-known problems with the regulatory process can lead to injustice and have substantial negative effects on society and democracy. We discuss a new approach that utilizes distributed artificial intelligence (AI) to make a regulatory recommendation that is explainable and adaptable by design. We outline the main components of a system that can implement this approach and show how it would resolve the problems with the present regulatory system. This approach models and rea...
| Authors | Thomas Hofweber, Andreas Sudmann, Evangelos Pournaras |
|---|---|
| Primary category | cs.CY |
| Published | 31 March 2026 |
| Last updated at source | 31 March 2026 |
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