Data Distributions

Last updated Aug 18, 2021 Edit Source

• Sapling

• Machine Learning and AI Systems excludes the tail ends of the distributions
  • this is where minorities live, ends up reproducing existing systems of power (re: To live in their Utopia, Matthew Effect)
  • synthetic/generative/federated models suck at these
  • most interesting cases ARE outliers (esp. in medical AI)

Should data and information be contextualized all the time?

1. context is important when dealing with historical data. Knowing why certain decisions were made is extremely important
2. We want data to be anonymized to a certain extent. Exposing patient data, for example, is a huge risk.

How do we choose what context to include and what not to include?