Security of human private life when interacting with generative artificial intelligence

Journal Title: Modern Innovations, Systems and Technologies - Year 2023, Vol 3, Issue 4

Abstract

This scholarly article critically examines the intricate dynamics of personal privacy in the age of pervasive internet use, emphasizing the escalating challenges posed by Generative Artificial Intelligence. Every year there are more and more opportunities for fraud on the Internet, as people leave behind a large digital footprint. This helps attackers to collect information about a person and use it for their own purposes. One of the methods of fraud is the use of neural networks in illegal schemes. This suggests that it is necessary to develop mechanisms of interaction with artificial intelligence that will protect a person from fraud and any other encroachment on privacy. The study advocates for enhanced security measures beyond conventional "digital hygiene" practices. It proposes strategic approaches, including a comprehensive reassessment of online presence and the use of advanced tools to obfuscate personal data. Ultimately, the article underscores the importance of user awareness, continuous education on emerging technologies, and vigilant digital practices to fortify cybersecurity.

Authors and Affiliations

M. D. Titov, D. M. Nazarov

Keywords

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  • EP ID EP729387
  • DOI 10.47813/2782-2818-2023-3-4-0342-0348
  • Views 42
  • Downloads 0

How To Cite

M. D. Titov, D. M. Nazarov (2023). Security of human private life when interacting with generative artificial intelligence. Modern Innovations, Systems and Technologies, 3(4), -. https://europub.co.uk./articles/-A-729387