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SDAIA Updates Rules for Personal Data Transfers Outside Saudi Arabia - CairoScene

SDAIA ·

The Saudi Data and Artificial Intelligence Authority (SDAIA) has updated its regulatory framework governing the transfer of personal data outside Saudi Arabia. These new rules are designed to enhance data protection standards and ensure compliance with global best practices for cross-border data flows. The revised guidelines will impact all organizations operating within Saudi Arabia that handle personal data and engage in international data transfers. Why it matters: This update demonstrates Saudi Arabia's ongoing commitment to strengthening its data governance and privacy landscape, which is essential for building trust in its burgeoning digital economy and enabling secure international AI partnerships.

A prescription for privacy

MBZUAI ·

MBZUAI researchers developed FeSViBS, a new federated split learning technique for vision transformers that addresses data scarcity and privacy concerns in healthcare image classification. The method combines federated learning and split learning to train models collaboratively without sharing sensitive patient data directly. It overcomes limitations of traditional centralized training and vulnerabilities in federated learning. Why it matters: This approach enables the development of AI-powered healthcare applications while adhering to stringent data privacy regulations, unlocking the potential of machine learning in medical imaging.

Powerful predictions and privacy

MBZUAI ·

MBZUAI Assistant Professor Samuel Horváth is researching federated learning to address the tension between data privacy and the predictive power of machine learning models. Federated learning trains models on decentralized data, keeping sensitive information on devices. Horváth's research focuses on designing algorithms that can efficiently train on distributed data while respecting user privacy. Why it matters: This work is crucial for advancing AI in sensitive domains like healthcare, where privacy regulations limit centralized data collection.