BIO Web of Conferences (Jan 2024)

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

  • Dmitrieva Ekaterina,
  • Balmiki Vinod,
  • Bhardwaj Nitin,
  • Kumar Kaushal,
  • Sharma Achyut,
  • Shruthi CH.M.

DOI
https://doi.org/10.1051/bioconf/20248601097
Journal volume & issue
Vol. 86
p. 01097

Abstract

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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.

Keywords