Rebellion is committed to scientific excellence as we advance the development, testing, and deployment of artificial intelligence and other technologies.

In addition, we ensure the safety and security of the research, development, and production environments.

Design for human control, accountability, and intended use

We achieve this through modern software engineering and rigorous testing on our entire systems including their constituent data and AI products, in isolation and in concert.

Our teams are trained to identify and challenge biases in our own decision making and in the data we use to train and test our models.

We execute statistical tests to look for imbalance and skewed datasets and include methods to augment datasets to combat these statistical biases.

We pressure test our decisions by performing peer review of model design, execution, and outcomes; this includes peer review of model training and performance metrics.

This review includes in sample and out of sample testing to mitigate the risk of model overfitting to the training data, and biased outcomes in production.