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When is Legitimate Interest a Viable Alternative to Consent?

When organizations think about how to collect, use, and disclose personal data in compliance with privacy laws, the first thing that usually comes to mind is that consent must be obtained.

What the International AI Safety Report 2025 has to say about Privacy Risks from General Purpose AI

As the world gears up for the AI Action Summit in Paris in February 2025, global policymakers, researchers, and industry leaders are turning their attention to a landmark publication: The International AI Safety Report 2025. This report, a collaborative effort by 96 AI experts from around the world, represents the most comprehensive scientific assessment to date of the risks posed by general-purpose AI—a rapidly advancing form of AI with the ability to perform a wide range of tasks.

What’s New in Version 3.8

Hello, dear community! We continue to see exciting improvements released since 3.7. Here is a synopsis of highlights from the version 3.8 updates release.

When the Curious Abandon Honesty: Federated Learning Is Not Private

Top 7 Differential Privacy Papers for Language Modeling

Differential privacy is a hot topic given the many conflicting opinions on its effectiveness. For some background, we previously wrote a comprehensive post on the Basics of Differential Privacy where we discussed the risks and how it can also enhance natural language understanding (NLU) models.

Who is Responsible for Protecting PII?

Personally identifiable information (PII) is any data that can be used to identify an individual directly or indirectly, such as their name, social security number, date of birth, gender, ZIP code, and more.

Why The Right To Be Forgotten Is Even Harder To Comply With Than You Think (And What To Do About It)

Why is Privacy-Preserving NLP Important?

A number of people ask us why we should bother creating NLP tools that preserve privacy. Apparently not everyone spends hours thinking about data breaches and privacy infringements.

日本における金融機関の個人情報の取り扱い - 金融庁ガイドラインの要件

Why is linguistics essential when dealing with healthcare data?

Clinical notes. Imaging reports. Lab results. Transcripts from patient conversations. It’s all full of critical insights, but none of it fits neatly into rows and columns – it’s all unstructured data.

Why Health Data Strategies Fail Before They Start

We’ve said it before, and we’ll say it again: healthcare data has the power to transform care. It can personalize treatments and speed up diagnoses in ways we’ve only dreamed of.But here’s the part nobody really likes to talk about: most healthcare data strategies fail before they even get off the ground.