Most AI Explainability Is Snake Oil. Ours Isn't. Here's Proof.
Banks and lenders can make more money using machine learning.
Advanced machine learning (ML) is a subset of AI that uses more data and sophisticated math to make better predictions and decisions. But adoption of ML has been held back by the technology’s “black-box” nature—you can’t run a credit model safely or accurately if you can’t explain its decisions.
Existing explainability techniques have serious flaws, namely: inaccuracy, inconsistency, and lengthy time consumption.
Zest AI is working to change that. In this white paper, we cover:
- Four kinds of explainability techniques
- Putting explainability techniques to the test
- Gradient boosted trees
- Neural networks
Get your copy of the white paper to see how we are changing the status quo with Zest Automated Machine Learning (ZAML™).