Chris Knoch

Organizations must be able to explain to their customers and internal teams why they made a certain decision based on an ML model’s prediction. Explaining ML models and understanding the reasoning behind the predictions can be difficult but is critical for responsible ML use.

Explaining ML models and understanding the reasoning behind the predictions they make is often difficult, but it is important to support responsible use of ML. Trained models may weigh some features more heavily than others when generating predictions.