Speaker
Description
Understanding the behaviour of complex machine learning models has become a challenge in the modern day. Explainable AI (XAI) methods were introduced to provide insights into model predictions, however explaining these explanations can be difficult without proper visualisation methods. In addition, settling the disagreements between these explainers can be difficult based purely on numerical values without a proper visual indicator of the question each method is answering. To fill this gap we have built rosella, an R package offering an interactive Shiny app that visualises model behaviour in the data space alongside XAI explanations. Designed for developers, educators, and students, and based on layered approach towards XAI visualisation, rosella makes model decisions more accessible and interpretable.
Additional Material or Paper
https://github.com/janithwanni/rosella
If you used AI tools or services to support the preparation of this submission, please state the name and reason for using each of them.
No AI tools/ services were used
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | high dimensional data, explainable ai, interactive tools, machine learning |
|---|---|
| Virtual Option | This submission is for onsite presentation primarily, but I would also like it to be considered for pre-recorded virtual presentation if I don't get an onsite slot |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |
| Interested in serving as reviewer? | janithcwanni@gmail.com |