Explainable Deep Learning and Artificial Intelligence Conference in Osaka, Japan – January 2027

About this conference

This artificial intelligence conference takes place in Osaka, Japan on Jan 29–30, 2027. Abstracts and papers are due by December 28, 2026. It is one of 595 upcoming artificial intelligence conferences in Japan; the next one after it starts on January 29. It is organized by Conference Fora.

In the current climate where AI models increasingly influence significant outcomes, the discourse on their explainability is pivotal. This conference serves as a venue for the examination of theoretical frameworks and applications of explainable deep learning. Talks will focus on practical implications, novel interpretability techniques, and industry best practices. The gathering encourages scholars and practitioners to present their insights through diverse formats, including poster and paper submissions. Engaging sessions will foster dialogue around the latest developments and collaborative solutions to enhance model transparency. Detailed information on registration and submission protocols will be outlined on the event website.

Topics

Key dates

1. Abstract deadline · Dec 28, 202649 days left
2. Conference · Jan 29–30, 2027Osaka, Japan