Related papers: Mediators: Conversational Agents Explaining NLP Model Behavior

Mediators: Conversational Agents Explaining NLP Model Behavior

URL: http://arxiv.org/abs/2206.06029v1
Date: Mon, 13 Jun 2022 10:31:18 GMT
Title: Mediators: Conversational Agents Explaining NLP Model Behavior
Authors: Nils Feldhus, Ajay Madhavan Ravichandran, Sebastian M\"oller
Abstract summary: The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. We establish desiderata for Mediators, text-based conversational agents capable of explaining the behavior of neural models interactively using natural language.
Score: 2.7878644615660457
License: http://creativecommons.org/licenses/by/4.0/
Abstract: The human-centric explainable artificial intelligence (HCXAI) community has raised the need for framing the explanation process as a conversation between human and machine. In this position paper, we establish desiderata for Mediators, text-based conversational agents which are capable of explaining the behavior of neural models interactively using natural language. From the perspective of natural language processing (NLP) research, we engineer a blueprint of such a Mediator for the task of sentiment analysis and assess how far along current research is on the path towards dialogue-based explanations.

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