title: Training AI Models From Within A Digital Preservation System: Ensuring Machine Learning approaches can learn from users
creators: Jack O'Sullivan
abstract: Artificial Intelligence and Machine Learning tools are highly dependent on the datasets that are used to train them. Building datasets for general purpose usage is something that Commercial-Off-The-Shelf tools and services have done well, but they are not necessarily tuned to domain specific needs. Creating custom datasets for this purpose is often possible with these services, but is often complex or imposes complex requirements on an organization seeking to do it.
  This paper describes work undertaken to allow the refinement of datasets and re-training of custom models to be performed through simplified user interfaces that can be directly embedded within an existing digital preservation system.
keywords: information technology for dp from document to data