Question

Unknown unknowns refer to

A: Facing unknown empirical data with an incomplete dataset
B: An uncertainty of how the data is gathered
C: Being unsure about the morals of the research team
D: Lack of explainability and what a model is actually looking at to make it's prediction

Answer 1

Unknown unknowns refer to a lack of explainability and understanding of what a model or system is actually looking at to make its predictions. The correct option is D.

Step-by-step explanation:

Unknown unknowns refer to a lack of explainability and understanding of what a model or system is actually looking at to make its predictions. It is when there are factors that are not known or considered, leading to uncertainty in the results.

For example, let's say we have a machine learning model that predicts housing prices based on various features like location, size, and amenities. If the model is not trained on certain important factors that are unknown, such as upcoming development plans in the area, it might make inaccurate predictions or miss important trends.

In summary, unknown unknowns are the factors that are not known or considered, leading to uncertainty in predictions or outcomes. The correct option is D.