Discuss the potential drawbacks or difficulties of using machine learning in decision-making.

The potential drawbacks or difficulties of using machine learning in decision-making are:

1. Machines are not able to learn from experience in the same way that humans do. This means that machines may not be able to make the same kind of creative and flexible decisions that humans can.
2. It is difficult to quantify human emotions and values through algorithms or programming. As a result, machine learning systems may face difficulty in making subjective decisions that involve emotions, beliefs, and personal values.