As artificial intelligence has become tightly intervened in the society having tangible consequences and influence, calls for explainability and interpretability of these systems has also become increasingly prevalent. Explainable AI (XAI) attempts to alleviate concerns of transparency, trust and ethics in AI by making them accountable, interpretable and explainable to humans. This workshop aims to encapsulate these concepts under the umbrella of Explainable Agency and bring together researchers and practitioners working in different facets of explainable AI from diverse backgrounds to share challenges, new directions and recent research in the field. We especially welcome research from fields including but not limited to artificial intelligence, human-computer interaction, human-robot interaction, cognitive science, human factors and philosophy.
As part of the 35th AAAI Conference on Artificial Intelligence – A Virtual Confereence, the workshop is designed as a 2-days meeting, with invited talks, panels, paper presentations, lightning presentations and a discussion. It will be held online between February 2-9th, 2021
More info coming soon on the dedicated website.
Call for papers
We invite the submission of papers describing novel research contributions (6 pages plus references), surveys (up to 8 pages plus references) or demonstrations (4 plus references). The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. All papers will be peer reviewed, single-blinded. is Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. All the papers are required to be submitted via Easychair.
Prashan Madumal, Silvia Tulli, David Aha, Rosina Weber