Case studies are a particularly fruitful methodology to facilitate discussion and thinking about a range of variables that may influence outcomes, and they are ...
People also ask
What is an example of model explainability?
What is the problem with AI explainability?
What is the theory of explainability?
Is ChatGPT an explainable AI?
Sep 1, 2020 · We present a set of case studies of a hypothetical AI-enabled product, which serves as a pedagogical tool to empower product designers, ...
Jul 8, 2024 · These studies showcase how AI has contributed to improved accuracy in diagnosing diseases such as cancer, reduced hospital readmission rates, ...
In this paper, we present a case study wherein we have focused on using the ELI5 XAI toolkit in conjunction with LIME (Local Interpretable Model-agnostic ...
Apr 30, 2024 · This article reviews a recent study where explainability was a core component of Machine Learning methodology applied to medical image analysis.
Hands-on programming labs, using Python to implement local and global explainability techniques, and case studies offer practical learning. This series is ...
As Explainable AI(XAI) seeks to bridge this gap through the explanation of AI models, this paper focuses on the study of achieving Responsible AI through XAI.
This book is the result of a student projects for Interpretable Machine Learning course at the University of Warsaw and the Warsaw University of Technology.
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury · Abstract. A longstanding ...
Jun 13, 2022 · Three case studies concerning to explainability of the prediction model in the healthcare domain are presented in this section, with a detailed ...