AI Knowledge Remediation Platform

A platform that analyzes and corrects errors and biases in datasets used to train generative AI, focusing on preventing 'knowledge collapse' and improving accuracy, particularly within specialized domains (e.g., healthcare, legal). It leverages AI to identify inconsistencies and flag potentially harmful outputs, resembling a quality assurance system for AI learning data. This addresses concerns raised about reliance on compromised datasets.

technology stack

inspired by