Explainable Composition of Aggregated Assistants
This work addresses the problem of making the internal workings of aggregated AI assistants transparent for end-users, which is important for trust and usability.
This paper explores how automated planning can be used to compose aggregated AI assistants from individual skills or agents. The goal is to enhance the transparency of the assistant's internal operations for end-users.
A new design of an AI assistant that has become increasingly popular is that of an "aggregated assistant" -- realized as an orchestrated composition of several individual skills or agents that can each perform atomic tasks. In this paper, we will talk about the role of planning in the automated composition of such assistants and explore how concepts in automated planning can help to establish transparency of the inner workings of the assistant to the end-user.