Collective Wisdom

Collective wisdom research explores how groups aggregate individual knowledge to surpass the accuracy or efficiency of individual members. Current work focuses on leveraging machine learning, particularly large language models and deep neural networks, to facilitate knowledge sharing and evaluation within collaborative systems, often employing techniques like federated learning and knowledge distillation. This research is significant for improving the performance of AI systems, mitigating biases in information ecosystems, and enhancing decision-making in various domains, including healthcare and combating misinformation. The development of robust and equitable methods for aggregating diverse perspectives remains a key challenge.