Lessons Learned in Human-Artificial Intelligence Teaming in Business Processes
Document Type
Conference Proceeding
Publication Date
2022
Abstract
There are three teams that exist in research, development and deployment of a business process focused Artificial Intelligence (AI) system. These include the customer team, AI team, and User Experience/Interface (UX/I) team. This article presents six (6) lessons team members need to learn and adopt in order to be successful: the problem that needs to be solved is not always obvious; an AI business process automation system still needs people; State of the art and user expectations need to be aligned; Adding AI-automation to a business process is more than data in and data out; be cognizant of shifting workload; and the AI-automation may have to operate as a silent partner. These lessons are discussed within the context of the research and development of a Human Resource Apprentice to assist the evaluation of resumes against the specialized experience required for the advertised position.
Source Publication
Proceedings of AI Engineering: Creating Scalable, Human-Centered and Robust AI Systems, AAAI SS2-22
Recommended Citation
Mendenhall, M. J., Peterson, G. L., Graves, A., & Butler, J. W. (2022). Lessons learned in human-artificial intelligence teaming in business processes. Proceedings of the AAAI Spring Symposium on AI Engineering, 2022
Comments
The "Link to Full Text" on this page opens or saves the PDF of the conference paper, hosted at the publisher's delegated proceedings page for the AAAI 2022 Spring Symposium.
© 2022 Association for the Advancement of Artificial Intelligence (AAAI). All rights reserved. Published in the Proceedings of AI Engineering: Creating Scalable, Human-Centered and Robust AI Systems, AAAI SS2-22, pp.1-8, 2022.
Affiliation notes: Authors Mendenhall, Peterson and Graves co-affiliated with Autonomy Capability Team 3 (ACT3), AFRL at the time of publication. Author Graves co-affiliated with University of Dayton Research Institute (UDRI).