AI Ethics, Policy & Society
Who is accountable when the model is wrong.
9 topics · 1 curated work
Topics
Curated reading
1Then
Assumes you know the vocabulary.
- PaperOn the Dangers of Stochastic ParrotsBender, Gebru, McMillan-Major & Mitchell, 2021· 14 pages
Argues that scaling language models compounds environmental cost, opaque training data and the illusion of understanding.
Also covered elsewhere
This subject genuinely sits in more than one domain. These fields approach the same ground with different methods.