About this lecture:
The last decade has seen a dramatic capture of digital material for machine learning production. This data is the basis for sense-making in AI, not as classical representations of the world with individual meaning, but as mass collections: ground truth for machine abstractions and operations. OpenAI’s GPT-3 language model is trained on a corpus of 1 billion words, ImageNet...
Event Date
-
Status
Happening As Scheduled
Primary Event Type
Lecture
Location
UC Berkeley Campus
Performers
Kate Crawford, USC Annenberg, Microsoft Research (Speaker)
Subtitle
Excavating “Ground Truth” in AI: Epistemologies and Politics in Training Data
Event ID
144933