#differential-privacy

#differential-privacy

The companies seeking to build larger AI models have been increasingly stymied by a lack of high-quality training data. As tech firms scour the web for more data to feed their models, they could increasingly rely on potentially sensitive user data. A team at Google Research is exploring new techniques to make the resulting large language models (LLMs) less likely to "memorize" any of that content.

The Bureau's framing of differential privacy (DP) as a "modern" and "advanced" confidentiality method leads to an oversimplified narrative, masking its broader social implications.