A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
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Aug 13, 2020 - CSS
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A model-agnostic tool for explaining text-based risk classification predictions for patients in Intensive Care Units.
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.
The first prototype for a Clear-glass Gen-AI development project in its infancy. Its focus is to be wholly user-centric, privacy conscious, and completely original. All while using white-box or transparent development processes and explainable logic.
This website hosted on GitHub-pages showcases all publications from Oregon State University's eXplainable Artificial Intelligence (XAI) Project.
TrustyAI main documentation
Personal AI portfolio and academic website | clinical ML, gait analysis, and explainable AI.
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