Abstract <p>Prerequisites for the implementation of an artificial intelligence (AI) driven automatic adaptive quadrature of the one-dimensional Riemann integral are formulated. The need of this approach follows from the occurrence of critical circumstances, which result in code <i>fragility</i> preventing the derivation of a <i>reliable</i> and <i>fast</i> output since their handling is out of the control of existing automatic adaptive quadrature algorithms. In the near future, the artificial intelligence generated process is expected to show <i>narrow AI capabilities</i> (the ability to solve a <i>single task</i> at a time), with <i>limited memory AI functionalities</i> (<i>few persistent memory</i> features).</p>