Minimize AI hallucinations and deliver up to 99% verification accuracy with Automated Reasoning checks: Now available
Today, I’m happy to share that Automated Reasoning checks, a new Amazon Bedrock Guardrails policy that we previewed during AWS re:Invent, is now generally available. Automated Reasoning checks helps you validate the accuracy of content generated by foundation models (FMs) against a domain knowledge. This can help prevent factual errors due to AI hallucinations. The policy uses mathematical logic and formal verification techniques to validate accuracy, providing definitive rules and parameters against which AI responses are checked for accuracy.
This approach is fundamentally different from probabilistic reasoning methods which deal with uncertainty by assigning probabilities to outcomes. In fact, Automated Reasoning checks delivers up to 99% verification accuracy, providing provable assurance in detecting AI hallucinations while also assisting with ambiguity detection when the output of a model is open to more than one interpretation.
Creating Automated Reasoning checks in Amazon Bedrock Guardrails To use Automated Reasoning checks, you first encode rules from your knowledge domain into an Automated Reasoning policy, then use the policy to validate generated content. For this scenario, I’m going to create a mortgage approval policy to safeguard an AI assistant evaluating who can qualify for a mortgage. It is important that the predictions of the AI system do not deviate from the rules and guidelines established for mortgage approval. These rules and guidelines are captured in a policy document written in natural language.
