Welcome to Francis Academic Press

Academic Journal of Business & Management, 2024, 6(1); doi: 10.25236/AJBM.2024.060124.

Research on Risk Management of Product Development Process with Artificial Intelligence Technology

Author(s)

Yanwen Qiu

Corresponding Author:
Yanwen Qiu
Affiliation(s)

Department of Economics, Business School, University of St Andrews, St Andrews, KY16 9AZ, United Kingdom

Abstract

In an intelligent era with informationization, artificial intelligence (AI) technology has been applied to the development and design of various products. Applying AI technology in the product development process has unique advantages. It could not only effectively enhance the process of product development and design, but also develop more creative products and improve production efficiency. However, AI technology would also face many risks during the process of product development, such as privacy and information leakage, technical risks, legal and moral risks, etc., which would limit the development of AI technology enabled products to a certain extent and bring losses to enterprises. In this paper, we discuss the value of using AI technology in product development through a preliminary introduction to AI technology and its characteristics. Risks faced in the process of AI technology product is also analyzed. Besides, we also put forward corresponding strategies to deal with the risks that arise in the development process of AI technology enabled products, so as to further optimize the development process of AI technology enabled products and enhance the efficiency of product development.

Keywords

artificial intelligence; product development; risk management

Cite This Paper

Yanwen Qiu. Research on Risk Management of Product Development Process with Artificial Intelligence Technology. Academic Journal of Business & Management (2024) Vol. 6, Issue 1: 168-172. https://doi.org/10.25236/AJBM.2024.060124.

References

[1] Lee C S, Wang M H, Yen S J, et al. Human vs. computer go: Review and prospect [discussion forum][J]. IEEE Computational intelligence magazine, 2016, 11(3): 67-72.

[2] Aziz S, Dowling M. Machine learning and AI for risk management[J]. Disrupting finance: FinTech and strategy in the 21st century, 2019: 33-50.

[3] Yu Z, Liang Z, Xue L. A data-driven global innovation system approach and the rise of China’s artificial intelligence industry[J]. Regional Studies, 2022, 56(4): 619-629.

[4] Cao L. A new age of AI: Features and futures[J]. IEEE Intelligent Systems, 2022, 37(1): 25-37.

[5] Li X, Ye P, Li J, et al. From features engineering to scenarios engineering for trustworthy AI: I&I, C&C, and V&V[J]. IEEE Intelligent Systems, 2022, 37(4): 18-26.

[6] BERDIYOROVA I, AKHTAMOVA P, GANIEV I M. Artificial intelligence in various industries[J]. DEVELOPMENT ISSUES OF INNOVATIVE ECONOMY IN THE AGRICULTURAL SECTOR, 2021: 750-757.

[7] Manheim K, Kaplan L. Artificial intelligence: Risks to privacy and democracy[J]. Yale JL & Tech., 2019, 21: 106.

[8] Volkman R, Gabriels K. AI Moral Enhancement: Upgrading the Socio-Technical System of Moral Engagement[J]. Science and Engineering Ethics, 2023, 29(2): 11.