Security and Privacy in AI-Driven Industry 5.0: Experimental Insights and Threat Analysis

¹ Department of Management and Innovation, Department of management and innovation, National Research University Moscow State University of Civil Engineering, 129337 Yaroslavskoe shosse, 26, Moscow, Russia
² Uttaranchal University, Dehradun 248007, India
³ Lovely Professional University Phagwara, Punjab, India
⁴ K R Mangalam University, Gurgaon, India
⁵ GD Goenka University, Sohna, Haryana, India
⁶ GRIET, Bachupally, Hyderabad, Telangana

^* Corresponding Email- DmitrievaEI@gic.mgsu.ru

Abstract

This empirical research offers important insights from simulated industrial situations as it examines security and privacy in AI-driven Industry 5.0. When responding to security problems, participants' remarkable average reaction time of 14 minutes demonstrated their preparedness. On a 5-point rating scale, the clarity and openness of privacy rules were scored 3.8 overall; however, differences between 3.5 and 4.2 indicated the range of privacy issues. These results highlight the need of well-defined security procedures, thorough training, and easily available, transparent privacy regulations in order to manage the ethical integration of AI into Industry 5.0 and promote stakeholder confidence and data protection.