Cabalga El Cometa

Podcast de Ciencia Tecnologia y su Impacto en la Sociedad

Power Harms and Data: Data is often biased. But that isn’t the real issue. Why is it biased? How do we build teams that are sensitive to that bias? https://www.oreilly.com/radar/power-harms-and-data/

There is no such thing as “raw data,” and hence, no pure, unadulterated, unbiased data. Data is always historical and, as such, is the repository of historical bias.