Abstract
In this paper, we explore the necessary reasoning conditions for outputting certain targeted actions in a structured argumentation system in the context of law. Based on a system that has been developed to combine legal ontology with a structured argumentation framework, we adapt the norms in the law regarding the actions of AI products by means of this feature. The adjustment of norms is realised under non-monotonic reasoning through argumentation theory, and dynamic changes in preference order among legal principles are also reflected.
| Original language | English |
|---|---|
| Title of host publication | Logics for New-Generation AI 2024 |
| Subtitle of host publication | Fourth International Workshop 15-16 June 2024, Hangzhou |
| Editors | Beishui Liao, Jun Pang, Tjitze Rienstra |
| Publisher | College Publications |
| Pages | 66-77 |
| Volume | 4 |
| ISBN (Electronic) | 9781848904590 |
| Publication status | Published - 24 Jun 2024 |
Keywords / Materials (for Non-textual outputs)
- enforcement
- structured argumentation
- practical reasoning
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