ARTIFICIAL INTELLIGENCE AND INFORMATION SECURITY PROBLEMS
Authors/Creators
- 1. Programming teacher, Urgench branch, KhorezmregionTeacher, Asia International University
Description
This article examines the role and significance of artificial intelligence in modern society, as well as the information security challenges associated with its use. It highlights the capabilities of artificial intelligence in rapid data analysis, workflow automation, and improving efficiency across various fields. The concept of information security and its core principles—confidentiality, integrity, and availability—are briefly explained. Special attention is given to the analysis of deepfake technologies and fake content generated with the help of artificial intelligence, along with their negative impact on information reliability, fraud, and the spread of misinformation. In conclusion, the article emphasizes the importance of verifying information, relying on trustworthy sources, and following security measures when using artificial intelligence technologies.
Files
282-284.pdf
Files
(218.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:ed6ab69d0d0993a6fc272eae85b7939e
|
218.4 kB | Preview Download |
Additional details
References
- Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
- .Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
- . National Institute of Standards and Technology (NIST). (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). U.S. Department of Commerce.
- .National Institute of Standards and Technology (NIST). (2004). Standards for Security Categorization of Federal Information and Information Systems (FIPS PUB 199). U.S. Department of Commerce.
- International Organization for Standardization (ISO) & International Electrotechnical Commission (IEC). (2022). ISO/IEC