2.3k citations · 2.7k across the 7 of their papers we have counts for
Showing 2021Show all
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cs.LG2021★ 2.3k cited
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111
AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.…
cs.CY2021★ 35 cited
Understanding the Representation and Representativeness of Age in AI Data Sets
Joon Sung Park, Michael S. Bernstein, Robin N. Brewer +2
A diverse representation of different demographic groups in AI training data sets is important in ensuring that the models will work for a large range of users. To this end, recent…