Chapter 1, Explaining Artificial Intelligence with Python
- Understanding the theory of an ML algorithm is enough for XAI. (True|False)
False. Implementing an ML program requires more than theoretical knowledge.
True. If a user just wants an intuitive explanation of an ML algorithm.
- Explaining the origin of datasets is not necessary for XAI. (True|False)
True. If a third party has certified the dataset.
False. If you are building the dataset, you need to make sure you are respecting privacy laws.
- Explaining the results of an ML algorithm is sufficient. (True|False)
True. If a user is not interested in anything else but the result.
False. If it is required to explain how a result was reached.
- It is not necessary for an end user to know what a KNN is. (True|False)
True. If the end user is satisfied with results.
False. If the end user is a developer that is deploying the program...