A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks

arXiv:2403.18537v1 Announce Type: cross
Abstract: Legal autonomy - the lawful activity of artificial intelligence agents - can be achieved in one of two ways. It can be achieved either by imposing constraints on AI actors such as developers, deployers and users, and on AI resources such as data, or by imposing constraints on the range and scope of the impact that AI agents can have on the environment. The latter approach involves encoding extant rules concerning AI driven devices into …

abstract agents artificial artificial intelligence arxiv autonomy bayesian computing constraints cs.ai cs.cl cs.cy cs.lo expert information intelligence language language models large language large language models legal loading networks path systems type