A key goal of AI is to reproduce human behavior at scale. AI seeks to reason on input and explain on output while improving (learning) with each experience.
Computers are very good at processing data to turn it into information through logic. Computer systems can then store this information at a global level and attempt to turn it into knowlege by applying it locally. But it's currently very challenging for computers to turn knowledge into wisdom in a personal context.
AI Challenge
The challenge with artificial intelligence (AI) is that computers are inherently thinking machines, trying to imitate humans. However, people are not thinking machines, we are feeling machines. Simply look at a baby which experiences life through feeling, not thinking. If a baby's hungry or tired, they cry. When a baby's entertained, they laugh.
Teaching a robot how to walk is vastly different than teaching a baby how to walk. Robots use precision (digital) logic to balance and walk while babies feel their way to becoming bipeds. I'm not advocating that people always go with gut feelings – there's an old saying, don't believe everything you think – but it seems that we need a more fundamental layer that's missing from AI.
