Privacy and data protection challenges in industry 4.0: An AI-driven perspective

Abstract

In Industry 4.0, data is enormously exchanged through wireless devices. Ensuring data privacy and protection is vital. The proposed review paper explores how AI techniques can safeguard sensitive information and ensure compliance. It explores fundamental technologies such as cyber-physical systems and the complex application of AI in analytics and predictive maintenance. The issues with data security are then emphasized and privacy concerns resulting from human-machine interaction are shown. Regulatory frameworks that direct enterprises are touted as essential defenses, coupled with AI-powered solutions and privacy-preserving tactics. Examples from everyday life highlight the constant battle for equilibrium. The review continues with a look ahead to future developments in interdisciplinary research and ethical issues that will influence Industry 4.0's responsible growth. In essence, this paper synthesizes a nuanced understanding of the sophisticated challenges surrounding privacy and data protection within Industry 4.0, underscoring the pivotal role of AI as a custodian of sensitive information and offering an indispensable resource for professionals, policymakers, and researchers navigating the intricate and evolving terrain of Industry 4.0 with technical precision and ethical responsibility.