And for the first fifty years of AI research, the process more or less goes:<p>1) An AI researcher decides that problem X is hard enough that solving it represents intelligence
2) Researcher develops an algorithm to solve X
3) Now that we have that algorithm, it&#x27;s no longer an AI problem<p>When you teach a computer to play chess, it&#x27;s just depth first search with a few heuristics added in. When you write an expert system to evaluate mortgage loans, it&#x27;s just following a if-then script.<p>Machine learning techniques though, seem to to have stayed solidly in the AI camp.