Publication
AAAI 2022
Tutorial

Explanations in Interactive Machine Learning

Abstract

This tutorial is intended for Artificial Intelligence researchers and practitioners, as well as domain experts interested in human-in-the-loop machine learning, including interactive recommendation and active learning. The participants will gain an understanding of current developments in interactive machine learning from rich human feedback – with an emphasis on white-box interaction and explanation guided learning – as well as a conceptual map of the variety of methods available and of the relationships between them. The main goal is to inform the audience about the state-of-the-art in explanations for interactive machine learning, open issues and research directions, and how these developments relate to the broader context of machine learning and AI.

Date

21 Feb 2022

Publication

AAAI 2022

Authors

Tags

Share