Building Trustworthy AI Beyond Prediction
Over the past months, I've been developing CREDERE, an AI engineering project exploring a question that I believe is becoming increasingly important:
What happens after a machine learning model makes a prediction?
Most discussions around AI still focus on model accuracy.
In regulated domains like credit scoring, however, accuracy is only one part of the problem.









