Blog
Insights into how we build and test our AI judge
How We Test Our AI Judge for Fairness and Accuracy
Building an AI judge that can fairly evaluate debates requires rigorous testing. Here's how we approach the challenge of creating unbiased, accurate judgments.
Our Methodology for Detecting and Eliminating AI Bias
We've developed a comprehensive framework for identifying potential biases in our AI judge. Learn about our multi-stage testing process and the metrics we track.
Measuring Human-AI Agreement: A Study of 10,000 Debates
We analyzed 10,000 debates judged by both humans and our AI to measure agreement rates. The results surprised us.
Handling Edge Cases in Automated Debate Judging
What happens when arguments are equally strong? How do we handle logical fallacies? Exploring the edge cases our AI judge encounters.
Q4 2024 AI Judge Transparency Report
Our quarterly report on AI judge performance, including accuracy metrics, user feedback analysis, and improvements made.
Prompt Engineering for Fair Debate Judging
The prompts we use to guide our AI judge are critical to fair outcomes. Here's a deep dive into our prompt engineering process.