Formalization 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.