Human-AI Collaboration Types and Standard Tasks for Decision Support: Production System Configuration Use Case

Alexander Smirnov, Tatiana Levashova, Nikolay Shilov

2023

Abstract

Production systems can be considered as variable systems with dynamic structures and their efficient configuration requires support by AI. Human-AI collaborative systems seem to be a reasonable way of organizing such support. The paper studies collaborative decision support systems that can be considered as an implementation of the human-AI collaboration. It specifies collaboration and interaction types in decision support systems. Two collaboration types (namely, hybrid intelligence and operational collaboration) are considered in detail applied to the structural and dynamic production system configuration scenarios. Standard tasks for collaborative decision support that have to be solved in human-AI collaboration systems are defined based on these scenarios.

Paper Citation

in Harvard Style

Smirnov A., Levashova T. and Shilov N. (2023). Human-AI Collaboration Types and Standard Tasks for Decision Support: Production System Configuration Use Case. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 599-606. DOI: 10.5220/0011987400003467

in Bibtex Style

@conference{iceis23,
author={Alexander Smirnov and Tatiana Levashova and Nikolay Shilov},
title={Human-AI Collaboration Types and Standard Tasks for Decision Support: Production System Configuration Use Case},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={599-606},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011987400003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Human-AI Collaboration Types and Standard Tasks for Decision Support: Production System Configuration Use Case
SN - 978-989-758-648-4
AU - Smirnov A.
AU - Levashova T.
AU - Shilov N.
PY - 2023
SP - 599
EP - 606
DO - 10.5220/0011987400003467
PB - SciTePress