Enterprise AI/DI Risk Management Challenge (Part 2) | Decision Intelligence News | Scoop.it

"If we wait for the hidden biases and other flaws hiding in our data to emerge out of AI-based decision systems, it will be too late.

 

"We are moving artificial intelligence (AI) systems from the lab, where we can control for a limited set of variables, to potentially massive-scale implementations, where variables will propagate and multiply. We must have an AI engineering discipline that can help predict and adjust for those variables.