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

Related Articles

Filtration rates in the area of squeezing materials

Analytical dependencies are determined that describe the patterns of change in filtration rates in the squeezing area. It was established that the fluid filtration rate along the abscissa axis at the boundaries of the co...

Modeling of the automated process of making a commercial offer for decision-making

Effective management of commercial offers is becoming one of the main factors of trading activity in conditions of high market competition. In addition, the factor of prompt response to consumer requests becomes an urgen...

Implementation of monitoring the efficiency of enterprises using a special subsystem of the automated control system

The article discusses the implementation of monitoring the efficiency of enterprises using a special subsystem of the automated control system. It is shown that the analysis within the framework of the performance monito...

Digital restoration of monumental art objects using CV and machine learning

The article investigates the possibility of using the OpenCV library (implemented in the Python programming language) for digital restoration of monumental art objects. The paper presents methods for image analysis and r...

Modeling a thin film printed inductance coil for a VHF radio receiver

When designing and modeling inductors, the only practical options are wire connections and flat geometric shapes, although, wire connections allow to achieve a high-quality factor, their inductance values are limited and...

Download PDF file
  • EP ID EP729387
  • DOI 10.47813/2782-2818-2023-3-4-0342-0348
  • Views 48
  • 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