1. Mediators: Conversational Agents Explaining NLP Model Behavior
- Author
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Feldhus, Nils, Ravichandran, Ajay Madhavan, and Möller, Sebastian
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Human-Computer Interaction ,Computer Science - Machine Learning - 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., Comment: Accepted to IJCAI-ECAI 2022 Workshop on Explainable Artificial Intelligence (XAI)
- Published
- 2022