Chapter 5, Building an Explainable AI Solution from Scratch
- Moral considerations mean nothing in AI as long as it's legal. (True|False)
False. You have conflicts with people that are offended by AI solutions that do not take moral considerations into account.
- Explaining AI with an ethical approach will help users trust AI. (True|False)
True. An ethical approach will make your AI programs and explanations trustworthy.
- There is no need to check whether a dataset contains legal data. (True|False)
False. You must verify if the data used is legal or not.
- Using machine learning algorithms to verify datasets is productive. (True|False)
True. ML can provide automated help to check datasets.
- Facets Dive requires an ML algorithm. (True|False)
False. You can load and analyze raw data without running an ML algorithm first.
- You can anticipate ML outputs with Facets Dive...