While artificial intelligence has long supported higher education research initiatives, it’s now expanding into areas that touch student data. Examples include face recognition in surveillance cameras ...
In a perfect world, my job wouldn’t exist. I’m a consumer privacy advocate, which means I spend my days fighting for something that should be automatic: your right to control and protect your own ...
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Confronting AI’s data privacy paradox
As more organizations across the globe adopt and operationalize AI systems, they’re running into a paradox: their most impactful AI initiatives rely heavily on sensitive data, but the hyperscalers ...
AI is changing the way doctors diagnose health conditions and treat patients. There’s a lot of optimism about its potential for improving health outcomes. However, because AI requires massive amounts ...
The standard 5-step AI privacy playbook is necessary and helps manage risk, but it has a major blind spot — it accepts that data will leave your environment at some point. Client-side filtering — ...
As Data Privacy Day 2026 approaches, organizations face an inflection point in privacy, artificial intelligence, and cybersecurity compliance. The pace of ...
What counts as “sensitive information” is not always obvious to children. Some examples, like a home address or phone number, are easier to recognize. Others depend on context. For instance, when a ...
Connecticut lawmakers will be pushing to regulate the online activity of minors and better protect the data privacy of residents, Attorney General William Tong and state Sen. James Maroney, D-Milford, ...
The European Commission recently published a comprehensive legislative proposal, known as the Digital Omnibus, aimed at simplifying data regulation within the European Union by amending key ...
Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
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