Affiliation:
1. Sandip University, Nashik, India
Abstract
The combination of artificial intelligence (AI) and digital twin technologies presents new opportunities and challenges as businesses increasingly recognize their disruptive potential. The purpose of this study is to shed light on the intricate dynamics that result from the convergence of these technologies by examining the relationship between business security and ethical considerations in the context of AI-driven digital twins. Digital twins with AI integration provide previously unheard-of possibilities for optimization, prediction, and simulation in a variety of industries. However, there are serious concerns about the security of confidential company information, intellectual property, and the possibility of misuse raised by this synergy. In order to protect against cyber-attacks, data breaches, and unauthorized access, this chapter examines the security issues that are inherent in AI-driven digital twins and suggests strategies.
Reference11 articles.
1. Amthiou, H., Arioua, M., & Benbarrad, T. (2023). Digital Twins in Industry 4.0: A Literature Review. ITM Web of Conferences, COCIA’2023. Research Gate.
2. The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0;M.Attaran,2023
3. Biller, B. & Biller, S. (2023). Implementing Digital Twins That Learn: AI and Simulation Are at the Core. Machines .
4. Data Dynamics Inc. (n.d.). Amplifying Manufacturing Excellence: Unveiling Five Advantages of Cloud-Based Digital Twin Technology. Data Dynamics Inc.
5. Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope