Today, artificial intelligence excels in accomplishing specific tasks. Even still, tech giants dream of virtual assistants capable of doing everything by working in tandem with connected objects and specialized AI to transform the lives of users.
When we think of AI, we automatically think of general AI, capable of surpassing the human brain with the help of a computer program. Today's headlines envision nothing but catastrophe at the idea. But the reality is more complex.
In the summer of 1955, scientists John McCarthy, Marvin Minsky, Nathan Rochester and Claude Shannon posited that “The study (of AI) should be based on the conjecture that any aspect of learning or intelligence can be described in such a way that it can be replicated.” Based on an innovative approach on human cognitive abilities as applied to machines, their report pioneered the discipline of AI assistants.