Even after the machine-based computers came online, humans were still very much part of the equation, utilizing their skills to define the right theories and strategies. Depending on your business, there are two types of automation/AI that a finance organization can start employing: machine learning and RPA (Robotic Process Automation). First, let's get one thing straight--robots are not stealing our jobs. When NASA's Apollo program hired human computers to help decipher the math for the moon landing--so compellingly presented in the film "Hidden Figures"--today's machines were not readily available. In fact, the math for the computational questions they needed to answer hadn't even been invented.

We consider the situation in which an organizer is trying to convenean event, and needs to choose whom out of a given set of agents to invite.Agents have preferences over how many attendees should be at the eventand possibly also who the attendees should be.This induces a stability requirement: All invited agents should preferattending to not attending, and all the other agents should not regretbeing not invited.The organizer's objective is to find an invitation of maximum size,subject to the stability requirement. We investigate the computational complexity of finding such an invitation when agents are truthful, as well as the mechanism design problem when agents act strategically.