Understanding Data Types in AI Safety and Security

To ensure GenerativeAI(GenAI) systems respond safely and reliably, AI safety teams must go beyond smart model design, applying rigorous testing and training with diverse organic and synthetic datasets.

Where do these datasets come from, and how does ActiveFence use them to ensure model safety while avoiding bad-data cycles?

Download the sheet to learn more.

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What’s inside?

In this sheet, we cover:

  • The difference between Organic and Synthetic Data
  • How these data types are used to train AI models
  • Real world examples of data collection, generation, and use in AI model training

Safeguard your platform.

Read Understanding Data Types in AI Safety and Security and discover why high quality data matters when it comes to AI safety and security.

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