The next things AI will do better than humans

One of IBM's ethical principles of AI is that this technology should be used to augment human intelligence, not replace it, affording employees more time to focus on higher-value work. In a business setting, that means that AI needs a certain level of reasoning ability which, today, it frankly doesn't have. But a newer, more hybrid approach to AI is beginning to bridge that gap. Neuro-Symbolic Learning (NSL) combines the strengths of neural networks and classical symbolic AI to accomplish complex tasks that neither of these methods can perform individually. At IBM, we are working with NSL to demonstrate AI's ability to solve much harder problems, learn with dramatically less data, and provide inherently understandable and controllable decisions and actions.