Open AccessComputer ScienceMedicine

XAI—Explainable artificial intelligence

D. Gunning, M. Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang

2019.12.18Science Robotics

DOI: 10.1126/scirobotics.aay7120

tlooto Summary

This research presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually cataloging and cataloging artificial intelligence applications.

Abstract

Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

Citation format

GUNNING, D., et al. Xai—explainable artificial intelligence. Science Robotics, 2019, 4.