From AI risks to legal and ethical AI governance
This chapter deals with risks, legal governance and legal theory. We propose categorizing AI risk into three distinct types-inertial, disruptive, and fundamental-each requiring different yet complementary approaches. We argue that Value Engineer-ing and Legal Governance are essential tools for addre...
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:326096 |
| Acceso en línea: | https://ddd.uab.cat/record/326096 https://dx.doi.org/urn:doi:10.1515/9783111346632-013 |
| Access Level: | acceso abierto |
| Palabra clave: | Risk management Rule of law Smart legal ecosystems Artificial intelligence Legal governance Metamodels |
| Sumario: | This chapter deals with risks, legal governance and legal theory. We propose categorizing AI risk into three distinct types-inertial, disruptive, and fundamental-each requiring different yet complementary approaches. We argue that Value Engineer-ing and Legal Governance are essential tools for addressing AI's inherent risks. This per-spective enables us to reconceptualize and restructure traditional legal theory con-cepts and instruments to effectively regulate rights and norms across platforms, infor-mation systems, and cyber-physical environments. The emergence of real-time regula-tory systems within smart legal ecosystems enables the concurrent regulation in real time of both human and artificial agents. To be effective, frameworks should be defined from an empirical perspective. This chapter introduces a four-dimension framework that is the first step to build a metamodel for legal and ethical AI governance. |
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