This workshop (hosted by the [WebSci'20](https://websci20.webscience.org/) conference) will focus on socially-sensitive decisions made or assisted by AI systems which often involve more complex (e.g. machine learning) and opaque forms (also referred to as black-box algorithms) of underlying decision-making processes. The aim is to stimulate a lively debate on whether explanations for AI are computable or not by bringing together researchers, practitioners and representatives of AI (or AI-assisted) decision-making systems.
Call for papers: [https://easychair.org/cfp/exAI2020](https://easychair.org/cfp/exAI2020)
## Description
Automated decision making continues to be used for a variety of purposes within a multitude of sectors. Ultimately, what makes a 'good' explanation is a focus not only for the designers and developers of AI systems, but for many disciplines, including law, philosophy, psychology, history, sociology and human-computer interaction. The principal objective of this workshop is to build a cross-sectoral, multi-disciplinary and international network of people focusing on explanations for AI, and an agenda to drive this work forward.
