The Frontiers of Society, Science and Technology, 2024, 6(6); doi: 10.25236/FSST.2024.060611.
Dai Jingyang, Ye Ruixing
Guangzhou Xinhua University of Accounting, Guangzhou, China
The application of artificial intelligence technology in the field of bidding is gradually deepening, not only improving the efficiency and transparency of the bidding process, but also reflecting the social value of promoting an open, fair, just and honest market environment.This paper first analyzes the status quo of AI in bidding activities, including the wide use of intelligent auxiliary tools, the deep integration of technology and business, the rise of intelligent compliance platforms, and the initial exploration of the intelligent architecture of the whole process. The problems and challenges in the application of AI are pointed out, such as single function, lack of integration of man-machine collaboration, and transparency of system decision making.The solutions and optimization strategies are put forward, such as continuously promoting technological innovation, strengthening man-machine collaboration, improving the explainability of decision making, and increasing personnel training. It looks forward to the future development trend of AI in the field of bidding, calls for strengthening industry cooperation and standard formulation, and promotes the standardized application of AI technology in order to fully release its potential value.
artificial intelligence; Bidding; Man-machine collaboration; Industry cooperation
Dai Jingyang, Ye Ruixing. The application and prospect of AI technology in the construction of bidding platform. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 6: 69-74. https://doi.org/10.25236/FSST.2024.060611.
[1] Feng Jufu, Yu Yang, Liu Qi. Research and application of green and low-carbon Machine Learning [J]. Journal of Software, 2024, 35 (04): 1585-1586. (in Chinese)
[2] Luo Shengli, Meng Qiaoling, Yu Hongliu. Research and application of rehabilitation robot in China [J]. Chinese Journal of Rehabilitation Medicine, 2023, 38 (12): 1762-1768. (in Chinese)
[3] He Ruiling, Si Zhanjun, Zhang Xuezhao, Ren Changmei, Liu Rui. Research and application of AI Experience Museum based on Virtual Reality technology [J]. Digital Printing, 2022, (06): 64-70.
[4] Xue Jianru, Hu Bin, Li Lingxi, Zhang Junping. Human-machine hybrid augmented intelligence: Research and Application [J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23 (08): 1139-1143. (in Chinese)