Security and Privacy in AI-Driven Industry 5.0: Experimental Insights and Threat Analysis
| Autor: | Dmitrieva Ekaterina, Balmiki Vinod, Bhardwaj Nitin, Kumar Kaushal, Sharma Achyut, Shruthi CH.M. |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | BIO Web of Conferences, Vol 86, p 01097 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2117-4458 20248601 |
| DOI: | 10.1051/bioconf/20248601097 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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