Questions

1. Understanding the theory of an ML algorithm is enough for XAI. (True|False)
2. Explaining the origin of datasets is not necessary for XAI. (True|False)
3. Explaining the results of an ML algorithm is sufficient. (True|False)
4. It is not necessary for an end user to know what a KNN is. (True|False)
5. Obtaining data to train an ML algorithm is easy with all the available data online. (True|False)
6. Location history is not necessary for a medical diagnosis. (True|False)
7. Our analysis of the patient with the West Nile virus cannot be applied to other viruses. (True|False)
8. A doctor does not require AI to make a diagnosis. (True|False)
9. It isn't necessary to explain AI to a doctor. (True|False)
10. AI and XAI will save lives. (True|False)