PHAROS AI Factory announced the 11th Course of its Training Series, Topic AI Ethics: “Assessing and Mitigating Privacy Risks in Machine Learning and Data-Intensive Environments“, which was held online via Zoom on July 14th, 2026. 

Presentation language: Greek

Audience: Compliance Officers, Healthcare Experts

Learning Objectives:

• Understand the privacy challenges introduced by modern data sharing and machine learning applications. 
• Learn the legal and technical differences between anonymization and pseudonymization under GDPR. 
• Become familiar with established anonymization techniques, including k-anonymity and km-anonymity, and understand their applicability and limitations. 
• Understand the principles of differential privacy and its role in privacy-preserving data analysis and machine learning. 
• Gain practical experience using the Amnesia anonymization platform. 
• Understand the most important privacy attacks targeting machine learning models and training datasets. 
• Learn about privacy-preserving machine learning approaches, including federated learning and differential privacy.

Presentation Material of the Course can be found here.

Watch the Course’s recordings in the dedicated playlist here.