Based on presentations and discussions at two iFAST workshops, we review and classify present-day applications of artificial intelligence and machine learning in the field of particle accelerators, illustrating the various types of deployment and their demonstrated merits by way of example. Extrapolating ongoing trends and sketching possible future developments, we formulate a few open questions, and issue R&D recommendations. In particular, we suggest the construction of a testbed for self-controlling complex accelerators