This is an amazing video. I encourage you to see it by yourself (direct link).
Anyway, here is an TL;DR:
"High-achieving groupswere not those where they had one or two peoplewith spectacularly high I.Q.Nor were the most successful groups the ones that had the highestaggregate I.Q.Instead, they had three characteristics, the really successful teams. First of all, they showed high degrees of social sensitivity to each other.This is measured by something called the Reading the Mind in the Eyes Test.It's broadly considered a test for empathy,and the groups that scored highly on thisdid better. Secondly, the successful groups gave roughly equal time to each other,so that no one voice dominated,but neither were there any passengers. And thirdly, the more successful groupshad more women in them."
Speaking of 2001: A Space Odyssey - besides envisioning what space travel would look like, it has many elements from Artificial Intelligence. More than 50 years ago, when computers could barely solve basic math, it envisioned a super computer (called HAL) speaking in natural language, playing chess with humans, reading lips, taking responsibility for unexpected missions and more...
See the next video, a scene where HAL is working up a psychology report:
Transcript from the video above - HAL (the sentient computer) in action, working on a psychology report
Deep Blue, IBM's chess-playing computer winning world champion on 1996
We are not there yet but we are definitely on track. Artificial Intelligence is competing against humans in the most complicated games (see also how AlphaGo won Lee Sedol). No one exactly programmed its moves. IT LEARNS.
In some sense, computers have basic "understanding". When we search for something in a search engine, we get good results.
The question is not whether but, WHEN will computers have a DEEP UNDERSTANDING of human beings and HOW we humans will give them that skill. WHAT will be the technology that will allow us to do that?
I see it as a real challenge that the whole world was waiting for, for many years.
Because I love challenges, I'm concentrating now on researching the Natural Language Processing domain and in particulate with Psychology data, wishing to teach computer to "read" people.
As in all research, no one knows what it will lead to, and for me that future is an intriguing oddity.