Explainable Artificial Intelligence for unsupervised models

Rob Buxton
Explainable Artificial Intelligence (XAI) is a branch of Computer Science that is gaining popularity, as it addresses the fundamental concept of ‘trust in AI’ – in other words, when users should trust outputs from Artificial Intelligence (AI) models (Ribeiro et al. 2016). GNS Science has been studying XAI as part of a collaboration with Callaghan Innovation since 2020. Callaghan Innovation’s focus has been on XAI applied to supervised AI models. For the 2020/21 financial year,...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.