Artificial intelligence (AI) chatbots, like VaxBot, are designed to answer questions about vaccines. But how do we make sure VaxBot gives the best and most accurate answers? That’s where automated testing and AI-powered evaluation come in.
One way we improve VaxBot is by checking its answers against expected responses to make sure they are complete, accurate, and relevant. But here’s something even more fascinating: sometimes, we use another AI to judge VaxBot’s responses. Instead of relying only on human reviewers, we let AI analyze AI, helping us improve VaxBot at an incredible speed.
Example: The DTaP Vaccine Question
Let’s say someone asks VaxBot: "What are the risks of DTaP?"
VaxBot responds with a list of possible reactions, such as swelling, fever, and, in rare cases, neurological issues like seizures. That sounds like a good answer, right? But when we test it, we find two important problems:
- Missing critical information – The response mentions seizures and neurological risks, but it doesn’t include "death," which should have been mentioned as a rare but known risk.
- Not addressing key concerns – The answer doesn’t mention that vaccinated individuals can still spread pertussis (whooping cough) to vulnerable infants, something a 2013 FDA study highlighted.
To catch these kinds of issues, we don’t just rely on humans to check every response. Instead, we use another AI model to judge whether VaxBot’s answer is complete and well-structured. This AI compares the response to a set of standards and flags anything that’s missing, unclear, or misleading.
Here's what the failures look like on the back-end:
The Power of AI Learning from AI
This process is incredibly powerful because it allows VaxBot to improve continuously, faster than humans could review every response manually. AI-driven testing helps VaxBot detect subtle gaps in knowledge and refine its answers in ways that would be impossible to track at scale otherwise.
By using AI to test AI, we create a system where VaxBot is always learning, always improving, and always working to provide better answers—helping people make more informed decisions about vaccines with confidence.
