3 steps for AI ethics

The power of deep learning systems is that they determine their own parameters or features. Just give them a task or purpose, point them at the data, and they handle the rest. For example, the autotune capability in SAS Visual Data Mining and Machine Learning can figure out the best result for itself. But people are still the most critical part of the process. "Humans solve problems, not machines," explains Mary Beth Ainsworth, an AI specialist at SAS. "Machines can surface the information needed to solve problems and then be programmed to address that problem in an automated way – based on the human solution provided for the problem."