Can Engineers Build AI/ML Systems? Analysis and an Alternative Approach

Although Artificial Intelligence (AI) and Machine Learning (ML) are attracting a lot of scientific engineering attention nowadays, nothing up to now has been achieved reach the level building machines that possess human-like intelligence. Though, community continuously claims several problems solved using AI or ML. Here, it is argued engineers not being able build intelligent machines, implying systems claimed have AI/ML belong different domains. The base syllogism existence four main obstacles on which extensive elucidation performed. In addition, attempt clear out developed confusion, mis-use ab-use phrases “Artificial Intelligence” “Machine Learning” by scientists carried out. Furthermore, mathematical, philosophical approaches also mentioned strengthen argument against implementability as part whole syllogism. Finally, an alternative approach (not unique) suggested discussed for performing research ML engineers. It based complexity theory non-linear adaptive provides benefit eliminating before pragmatic facing ignoring, without creating confusion this endeavor.