This is true – with a reminder that even as a brain injured idiot, I am a retired computer engineer and computer scientist:
Artificial-intelligence systems are nowhere near advanced enough to replace humans in many tasks involving reasoning, real-world knowledge, and social interaction. They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively, says Michael I. Jordan, a leading researcher in AI and machine learning.
Much of our “AI” mimics some human behaviors while much more is sheer computational horsepower enabling us to create models with complex weighted input mappings which we refer to as “machine learning”. This is all good but its not the AI that many people think of when they hear the term.
And this is actually quite cool:
He says he believes that developments in machine learning reflect the emergence of a new field of engineering. He draws parallels to the emergence of chemical engineering in the early 1900s from foundations in chemistry and fluid mechanics, noting that machine learning builds on decades of progress in computer science, statistics, and control theory. Moreover, he says, it is the first engineering field that is humancentric, focused on the interface between people and technology.