As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
TORONTO--(BUSINESS WIRE)--integrate.ai, a SaaS company helping developers solve the world’s most important problems without risking sensitive data, today announces the availability of its ...
Artificial intelligence (AI) has provided a promising solution for streamlining COVID-19 diagnoses and future public health crises. However, concerns surrounding security and trustworthiness impede ...
AntChain announced a new collaboration with Intel to launch AntChain Massive Data Privacy-Preserving Computing Platform (MAPPIC), a new privacy-preserving computing ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Data privacy regulations like GDPR, the CCPA and HIPAA present a challenge to training AI systems on sensitive data, like financial transactions, patient health records and user device logs.
Apple has shared recordings of talks from its workshop about privacy and machine learning, demonstrating how it is considering how to protect user data while it is processed using AI. Apple has ...
As regulators and providers grapple with the dual challenges of protecting younger social media users from harassment and bullying, while also taking steps to safeguard their privacy, a team of ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
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