What most people define as common sense is actually common learning, and much of that is biased.
The biggest short term problem in AI: as mentioned in the video clip, an over-emphasis on data set size, irrelevant of accuracy, representation or accountability.
The biggest long term problem in AI: Instead of trying to replace us we should be seeking to complement us. Merge is not necessary nor advisable.
If we think about it, building a machine to think like a human is like buying a race horse and insisting for it to function like a camel. And it is doomed to fail. Cos there are only two scenarios: Either humans are replaced or they are not. If we are, then we have failed. If we are not replaced, then the AI development has failed.
Time for a change of direction.
I think of a super intelligent learning machine as a data addict and then it’s easy to see how we fit in.
Correlation doesn’t equal causation — we all know this. Well, except robots.