User centered XAI - made easy

There are a large number of different XAI methods. This oversupply makes it difficult to find a suitable XAI method that fits a specific use case and is also suitable for the respective target group. The XAI Tutorial offers a good introduction for newcomers to XAI to show the possibilities that XAI can offer for an AI application.

🌀 Writing, documenting and sharing my journey in PhD. I am interested in the evaluation methods for XAI.

This website hosted on GitHub-pages showcases all publications from Oregon State University's eXplainable Artificial Intelligence (XAI) Project.

dubeyakshat07.github.io — the personal portfolio of Akshat Dubey, an AI researcher at Robert Koch Institute in Berlin and PhD student at Free University of Berlin. It features research projects in explainable AI (XAI), interpretable tree-based models, deep learning, computer vision, and NLP. Built with modern web tools and hosted via GitHub Pages.

End-to-End MLOPS Pipeline with AWS Deployment and Explainable AI (XAI).

TrustyAI main documentation