SAS Voices
News and views from the people who make SAS a great place to work
5 keys to creating effective model cards
We know that building trust in technology is a big deal. It’s no longer enough for AI to just work – we need to understand how it works, what it is doing and whether it’s performing as expected. That’s where model cards come in. If you remember from our previous
A plea for simple, easy-to-understand model cards
Model cards have been around for a few years now and while their purpose is clear – to increase machine learning transparency and to create a way to communicate usage, ethics-informed evaluation, and limitations – they're still evolving. Many companies have tried their hand at creating their own version of
Decisions and doom loops – AI for a better financial future
The commercial real estate crisis is looming for insurers and banks. Learn how AI decisioning can help.