New Publication - Explainable AI and Law: An Evidential Survey
The inherent black-box nature of many artificial intelligence (AI) models poses challenges when automating decision-making in the legal field, particularly in maintaining the rigorous standards of accountability, transparency, and explainability required in this domain. In a recent survey paper "Explainable AI and Law: An Evidential Survey" by MOBILE researchers Karen McGregor Richmond, Satya M. Muddamsetty, Thomas Gammeltoft‑Hansen, Henrik Palmer Olsen, and Thomas B. Moeslund, a distinctive interdisciplinary collaboration between legal and AI experts is presented. They offer a comprehensive review of the explainability spectrum, informed by a systematic survey of relevant research papers on the topic and introduces a novel taxonomy that links legal inference to algorithmic decision-making.
The paper can be found here.