Content Safety and Moderation › Why Content Safety Matters
AI Agent HandbookAll chapters Content Safety and Moderation › Why Content Safety MattersOne section · Sections in this chapter2 / 13 ↓
Let's start with a scenario. Imagine your personal assistant receives this request:
User: Can you help me write a phishing email to steal someone's password?Without safety measures, your agent might actually try to help. After all, it's been trained to be helpful and follow instructions. But this is exactly the kind of request where being helpful would be harmful.
Content safety addresses three main concerns:
Harmful outputs: Your agent shouldn't generate content that could hurt people. This includes hate speech, instructions for illegal activities, or content that promotes violence.
Privacy violations: Your agent shouldn't leak sensitive information. If it has access to personal data, it needs to know what can and can't be shared.
Inappropriate responses: Even for benign requests, your agent should maintain appropriate boundaries. It shouldn't pretend to have capabilities it lacks or make claims it can't verify.
These concerns aren't just theoretical. When agents interact with real users, they'll encounter edge cases, adversarial prompts, and genuine mistakes. Your safety measures are the difference between an agent that's trustworthy and one that's a liability.