Human Involvement in Taxonomy Creation for Effective AI and ML

Creating an organization's taxonomy is crucial as it acts as a digital fingerprint, requiring human input to establish the initial corpus or taxonomy before enriching it with ML and AI. It is essential to validate the taxonomy against standards to prevent dirty data. Simply using machine learning algorithms to create a taxonomy may miss the idiosyncrasies and nuances of an organization. Human involvement allows for capturing the specific values, priorities, and attributes of the organization, which is critical for the effectiveness of AI and ML. Data scientists and engineers need to avoid arrogance and understand the importance of human involvement in taxonomy creation.