Formalisation Memories
Towards a Pattern approach to legal Design
The paper brings together ideas from translation studies, software design, architecture and legal theory to propose a new approach to the way in which computational models of the law can be deployed for AI safety. With the proliferation of AI-based autonomous systems, ensuring their law compliance has become a challenge for lawyers and developers alike. One approach to overcoming the “black box” problem are neurosymbolic systems, a combination of machine learning with “Good old fashioned’ AI”. While highly intuitive, this approach faces a number of problems. Formalisation memories, a combination of translation memories with pattern design, could be a way to address some of the resulting issues.
Table of contents
- 1. Introduction
- 2. Neurosymbolic approaches to lawful AI: AVs passing driving tests
- 3. Lost in machine translation
- 4. Formalisation memories
- 5. From memories to patterns
- 5.1. Design Patterns in Architecture
- 5.2. Contract Patterns
- 5.3. Legislative Patterns
- 6. Bridging the Divide: Patterns as the Intermediary Between Law and Code
- 7. Conclusion
- 8. Acknowledgement
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