Artificial Intelligence uses machine learning and deep learning to replace human decision-makers with decision-making algorithms. Augmented Intelligence uses machine learning and deep learning to provide human decision-makers with actionable data to make them more accurate and efficient.

These two approaches use many of the same technologies and algorithms. The key difference between them is that of autonomy. Artificial Intelligence seeks to operate without human assistance or oversight. It focuses on accuracy over explainability. We see this now with large language models (such as ChatGPT). These algorithms generate accurate content most of the time, but when they fail (often in bizarre ways), there is generally no way to know why they failed because their algorithms were designed to generate content, not to explain their reasoning process.

At Pangaea, we focus on machine learning algorithms that provide timely, accurate information to decision-makers. Our algorithms do not operate as “black boxes,” instead they provide insight into why they made the recommendations they did. We strongly believe that this approach results in the best decision-making processes for our customers - those which augment the intelligence of their subject-matter experts to make them more accurate, efficient, and able to find critical patterns in massive datasets.

To learn more about the science of Augmented Intelligence, see What is Augmented Intelligence? To see how our approach can help your business make better use of your own data visit our website.