AI Fluency – Data Privacy

Course Description:

Generative AI tools are revolutionizing the way we work. To use them effectively, we must be diligent in keeping sensitive information protected. In this Bigger Brains course, we outline how large language models work, explore how Generative AI tools use our data, discuss where that data may come from, and highlight the data privacy risks that should be considered.

You will learn specific ways to protect your data as well as your customer’s data. You’ll also learn how to evaluate privacy policies to help determine which AI tools are safe to trust and which might misuse your data.

Why “AI Fluency – Data Privacy” Matters:

• Define large language models and multimodal models
• Discuss how models are trained on data
• Define grounding data, data classification, and training data
• Explain the types of personal data that AI tools collect
• List sources of training and grounding data
• Identify ways to block your data from the primary training sources
• Explain the importance of safeguarding customer data
• Identify laws and regulations that apply to specific industries and locations
• List three techniques for protecting internal data
• Define data loss prevention and data classification
• Discuss the difference in privacy levels for free vs. paid versions
• Review a sample privacy policy
• Identify the privacy features of common AI tools