Informativeness

• ML models are used with the ultimate intention of supporting decision making
• should not be forgotten that the problem being solved by the model is not equal to that being faced by its human counterpart
• great deal of information is needed in order to be able to relate the user’s decision to the solution given by the model, and to avoid falling in misconception pitfalls.
• explainable ML models should give information about the problem being tackled.