Crowdsourcing Platform

Crowdsourcing platforms leverage distributed human intelligence to solve complex tasks, primarily focusing on data annotation and model evaluation for machine learning. Current research emphasizes improving data quality through techniques like spam detection, just-in-time AI interventions to guide annotators, and optimized task design for efficient preference-based evaluations. This field is crucial for advancing AI, enabling large-scale data collection for training and evaluation of models across diverse domains, while also raising important ethical considerations regarding worker compensation, data privacy, and bias mitigation.

Papers