Cost weighing of false positives and false negatives

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Human-Centric Design > Cost weighing of false positives and false negatives

Cost weighing of false positives and false negatives

Control

While all errors are equal to an ML system, not all errors are equal to all people. Discuss with your team how mistakes of your ML model might affect the user's experience of the product.


Aim

to avoid sensitive decisions being taken (a) autonomously; or (b) without human consideration.


Additional Information