Human-in-the-Loop and AI: Crowdsourcing Metadata Vocabulary for Materials Science
Analysis
This article discusses the application of human-in-the-loop AI, specifically crowdsourcing, to create a metadata vocabulary for materials science. This approach combines the strengths of AI (automation and scalability) with human expertise (domain knowledge and nuanced understanding) to improve the quality and relevance of the vocabulary. The use of crowdsourcing suggests a focus on collaborative knowledge creation and potentially a more inclusive and adaptable vocabulary.
Key Takeaways
Reference
“The article likely explores how human input refines and validates AI-generated metadata, or how crowdsourcing contributes to a more comprehensive and accurate vocabulary.”