AI Fluency - Data Privacy

Learn practical steps for guarding data privacy while using Generative AI tools in the workplace.

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.

Topics covered include:

• Defining large language models and multimodal models

• Discussing how models are trained on data

• Defining grounding data, data classification, and training data

• Explaining the types of personal data that AI tools collect

• Listing sources of training and grounding data

• Identifying ways to block your data from the primary training sources

• Explaining the importance of safeguarding customer data

• Identifying laws and regulations that apply to specific industries and locations

• Listing three techniques for protecting internal data

• Defining data loss prevention and data classification

• Discussing the difference in privacy levels for free vs. paid versions

• Reviewing a sample privacy policy

• Identifying the privacy features of common AI tools

Enjoy award winning HD content in the “Uniquely Engaging”TM Bigger Brains style! Micro-learning courses are information-rich and convey important topics with an engaging mix of video and graphics. With short microlearning video lessons, our courses provide the perfect tool to educate today’s busy workforce.