This workshop is part of a series 'Issues in explainable AI', dedicated to exploring the various facets of research on improving our understanding of AI systems.

This instalment takes place in Delft from May 23-25 and focuses on the interplay between epistemic challenges of artificial intelligence and the ethical use of artificial intelligence. How can explainability support us when trying to meet the challenges of ethical use? And to what extent are there obligations for AI systems to be explainable? Presentations will explore among other things when explainability is required, how explainability relates to trust, accountability and knowledge, and will consider case studies in health care. Furthermore, four keynotes will be given by Filippo Santoni de Sio, Federica Russo, Judith Simon and Otávio Bueno. 

• For more details including the program, see the website for the workshop: https://juanmduran.net/xai4/ 
• Registration for online attendance is still open. Please, find the registration link to attend the workshop online: https://forms.gle/S5zj1SsrKKEpoKFJ9 
• Registration for online participation closes on May 19th. 

The workshop is sponsored by the European Research Infrastructure SoBigData (http://sobigdata.eu), the European Network of Human-Centered Artificial Intelligence Humane-AI (https://www.humane-ai.eu), KNAW Wetenschapsfondsen Evert Willem Beth Foundation (https://www.knaw.nl/en/awards/funds/evert-willem-beth-stichting), the TU Delft TPM-AI Lab (https://www.tudelft.nl/tbm/tpm-ai-lab), and the Delft Digital Ethics Initiative. This workshop is part of the workshop series "Issues in Explainable AI" (www.explainable-intelligent.systems).