Published March 14, 2026 | Version v1
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ARTIFICIALINTELLIGENCEANDINFORMATIONSECURITYPROBLEMS

  • 1. Programmingteacher,Urgenchbranch,KhorezmregionTeacher,AsiaInternationalUniversity

Description

Thisarticleexaminestheroleandsignificanceofartificialintelligenceinmodernsociety,aswellastheinformationsecuritychallengesassociatedwithitsuse.Ithighlightsthecapabilitiesofartificialintelligenceinrapiddataanalysis,workflowautomation,andimprovingefficiencyacrossvariousfields.Theconceptofinformationsecurityanditscoreprinciples—confidentiality,integrity,andavailability—arebrieflyexplained.Specialattentionisgiventotheanalysisofdeepfaketechnologiesandfakecontentgeneratedwiththehelpofartificialintelligence,alongwiththeirnegativeimpactoninformationreliability,fraud,andthespreadofmisinformation.Inconclusion,thearticleemphasizestheimportanceofverifyinginformation,relyingontrustworthysources,andfollowingsecuritymeasureswhenusingartificialintelligencetechnologies

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References

  • Russell,S.,&Norvig,P.(2021).ArtificialIntelligence:AModernApproach(4thed.).Pearson
  • Goodfellow,I.,Bengio,Y.,&Courville,A.(2016).DeepLearning.MITPress
  • NationalInstituteofStandardsandTechnology(NIST).(2023).ArtificialIntelligenceRiskManagementFramework(AIRMF1.0).U.S.DepartmentofCommerce
  • NationalInstituteofStandardsandTechnology(NIST).(2004).StandardsforSecurityCategorizationofFederalInformationandInformationSystems(FIPSPUB199).U.S.DepartmentofCommerce.
  • InternationalOrganizationforStandardization(ISO)&InternationalElectrotechnicalCommission(IEC).(2022).ISO/IEC