Introduction to Generative AI, Second Edition

3 Data privacy and safety: Technical and legal controls

This chapter covers

• Sources of bias in training data
• Improving the safety of outputs from LLMs
• Mitigating privacy risks with user inputs to LLMs
• Data protection laws and their application to generative AI systems

In the previous chapter, we discussed how large language models (LLMs) are trained on massive datasets from the internet. In practice, that data is likely to contain personal information, bias, and other undesirable content. We also introduced the concept of post-training and the primary post-training techniques. While some LLM developers use the unrestricted nature of their models as a selling point, most major LLM providers have a set of policies around the kinds of content ...