Crowdsourcing vs. Expertise

Slater discusses the limitations of crowdsourcing and the importance of expertise in creating labeled datasets. He shares an example from his work in education technology, highlighting the challenges of consensus among experts. He suggests that instead of striving for higher quality data, we should learn to work with messy data and leverage models that can filter out noise.