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. By Daniel Fusch Neel Somani, a ...
As financial institutions adapt to increasingly complex compliance landscapes, the intersection of artificial intelligence (AI), machine learning (ML), and data privacy has emerged as a critical ...
In 2024, we saw a huge influx of generative AI applications in business. In many industries though, like healthcare, finance and law, regulation is often a barrier to progress. In fact, 47% of data ...
Privacy Enhancing Technologies (PETs) are a suite of tools that can help maximize the use of data by reducing risks inherent to data use. These innovative solutions ...
A new arXiv preprint research paper, Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems, ...
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 ...
Wider participation in the space economy brings both opportunities and challenges, including a heightened risk of satellite collisions. Since no one group controls space, the open sharing of space ...
Safeguarding Insurance Data through Privacy-Aware Machine Learning Insights from Keerthi Amistapuram
In the evolving digital landscape of insurance, the convergence of artificial intelligence and data governance has opened transformative opportunities and profound responsibilities. At the center of ...
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