Internal Audit of Conflicts in Enterprise’s Accounting with the Help of Artificial Intellect’s Instruments
- 10.2991/aebmr.k.200318.006How to use a DOI?
- conflict, accounting, internal audit, artificial intellect, the artificial neuron networks, machine training
The article is devoted to the research of the enterprise’s conflicts in the accounting and to the progressive methods of their solvation. The causal-aftereffective connections of the conflict in the accounting at all the stages of its development process are revealed. The internal audit’s optimality for the system solvation of the contradictions between the sides of the accounting process is defined. The conflict’s generation stage in the accounting, as the main object of the internal audit’s preventive actions, is outlined. The economic practicability of the artificial intellect’s instruments’ usage (the artificial neuron networks and the machine training) for the efficiency of the internal audit’s operation in the struggle with the conflicts in the accounting is grounded. The basic competences of the internal audit’s workers for the operation with the artificial neuron networks and the machine training are formulated. The internal audit’s method is improved, - the efficiency of the conflicts’ solvation in the accounting, due to the instruments of the artificial intellect, is increased. The usage order regulation’s method of the artificial intellect’s instruments in the internal audit’s methods at the enterprise is offered.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tetiana Bondarenko AU - Ruslan Dutchak AU - Olha Kondratiuk AU - Olena Rudenko AU - Andrii Shaikan AU - Elizaveta Shubenko PY - 2020 DA - 2020/03/23 TI - Internal Audit of Conflicts in Enterprise’s Accounting with the Help of Artificial Intellect’s Instruments BT - Proceedings of the III International Scientific Congress Society of Ambient Intelligence 2020 (ISC-SAI 2020) PB - Atlantis Press SP - 39 EP - 46 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200318.006 DO - 10.2991/aebmr.k.200318.006 ID - Bondarenko2020 ER -