AI Generated Data and Privacy Risks | Anastasia Simou | ISTC 2026
Автор: Istanbul Software Testing Conference
Загружено: 2026-11-04
Просмотров: 30
Описание:
As AI-generated data becomes increasingly common in software development and testing, protecting data privacy and ensuring security are more important than ever. In this ISTC 2026 session, Anastasia Simou explores the privacy risks associated with AI-generated and synthetic data, highlighting the challenges of data quality, personal information protection, and responsible data usage. She discusses how organizations can address these risks while integrating AI-driven solutions into their testing processes.
Session: AI Generated Data and Privacy Risks
Speaker: Anastasia Simou
Event: Istanbul Software Testing Conference 2026
Topics in this session:
• Why synthetic data still needs a privacy assessment.
• Memorization, re identification and unintended reproduction.
• Evaluating privacy preserving techniques and trade offs.
Recorded at ISTC 2026 in Istanbul.
#ISTC2026 #SoftwareTesting #AIGeneratedData #SyntheticData #DataPrivacy #DataSecurity #ArtificialIntelligence #AIinTesting #SoftwareQuality #QualityAssurance #DataProtection #PrivacyRisks #ResponsibleAI #IstanbulSoftwareTestingConference
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