My talk on "Getting Specific about Algorithmic Bias"https://t.co/K5MOawggb4 pic.twitter.com/efNQtoVClJ
— Rachel Thomas (@math_rachel) November 3, 2019
My talk on "Getting Specific about Algorithmic Bias"https://t.co/K5MOawggb4 pic.twitter.com/efNQtoVClJ
— Rachel Thomas (@math_rachel) November 3, 2019
The Compas Recidivism Algorithm:
— Rachel Thomas (@math_rachel) November 3, 2019
- it's no more accurate than random people (Amazon Mechanical Turk)
- it's a black box with 137 inputs but no more accurate than linear classifier on 2 vars
- Wisconsin Supreme Court upheld its use (it is still used in other states as well) pic.twitter.com/cMdGOkQPP5
As promised, we have made the Text-To-Text Transfer Transformer (T5) models much easier to fine-tune for new tasks, and we just released a Colab notebook where you can try it yourself on a free TPU!
— Adam Roberts (@ada_rob) December 9, 2019
👇 https://t.co/l6eI88Ih3f
(1/3) pic.twitter.com/LU5scmhbIs
UPDATE: We have spent the past month “fine-tuning” our approach for Closed Book QA (CBQA, no access to external knowledge) w/ T5 and now our appendix is overflowing with interesting results and new SoTAs on open domain WebQuestions and TriviaQA! https://t.co/16Mu1MR6kW
— Adam Roberts (@ada_rob) April 29, 2020
(1/7) https://t.co/gvzixqpela