Intelligent Process Automation (IPA) is emerging as a sub-field of AI to support the automation of long-tail processes which requires the coordination of tasks across different systems. So far, the field of IPA has been largely driven by systems and use cases, lacking a more formal definition of the task and its assessment. This paper aims to address this gap by providing a formalisation of IPA and by proposing specific metrics to support the empirical evaluation of IPA systems. This work also compares and contrasts IPA against related tasks such as end-user programming and program synthesis.
@article{arxiv.2001.02639,
title = {On the Evaluation of Intelligent Process Automation},
author = {Deborah Ferreira and Julia Rozanova and Krishna Dubba and Dell Zhang and Andre Freitas},
journal= {arXiv preprint arXiv:2001.02639},
year = {2020}
}
Comments
Submitted to the AAAI-20 Workshop on Intelligent Process Automation