What is AutoML?

Navdeep Gill, Senior Data Scientist and Software Engineer at H2O.ai and Patrick Hall, Advisory Consultant at H2O.ai Utilization of artificial intelligence (AI) and machine learning models have become a common practice in many aspects of the economy. Furthermore, more sections of the economy will start to embrace automation and data-driven decision making over the coming years. While these predictive systems can be quite accurate, they have been treated as inscrutable black boxes in the past, that produce only numeric predictions with no accompanying explanations. Unfortunately, recent studies and recent events have drawn attention to mathematical and sociological flaws in prominent weak AI and ML systems, but practitioners usually don't have the right tools to pry open machine learning black-boxes and debug them. This presentation goes over how one can use Driverless AI to increase transparency, accountability, and trustworthiness in machine learning models.