AI has become a murky term that has evolved over time. The AI that we have today is very different from the AI envisioned early on. It's also accurate to say there are degrees of AI--a spectrum of possibilities.
Today we largely think of AI as pattern recognition algorithms that are trained by data rather than human coding and can be applied to many areas (speech, reading handwriting, analyzing photos, etc.) However, each AI application is for a very specific task and not a general problem-solving utility.
Using today's understanding, the ability to listen to natural speech and find relevant information to answer questions is considered AI even though it just involves essentially regurgitating existing info.
Earlier on it was primarily thought of as a simulation of human mental processes and usually more as a general problem solver.
Perhaps what we consider AI now will lead into that more expansive definition?
I'm willing to say that the TOS computer had AI as we use the term today but not as it was usually defined earlier on.
Today we largely think of AI as pattern recognition algorithms that are trained by data rather than human coding and can be applied to many areas (speech, reading handwriting, analyzing photos, etc.) However, each AI application is for a very specific task and not a general problem-solving utility.
Using today's understanding, the ability to listen to natural speech and find relevant information to answer questions is considered AI even though it just involves essentially regurgitating existing info.
Earlier on it was primarily thought of as a simulation of human mental processes and usually more as a general problem solver.
Perhaps what we consider AI now will lead into that more expansive definition?
I'm willing to say that the TOS computer had AI as we use the term today but not as it was usually defined earlier on.