Skip to content

Instantly share code, notes, and snippets.

@rspeer

rspeer/how-to-make-a-racist-ai-without-really-trying.ipynb

Last active December 23, 2023 22:54
Show Gist options
  • Save rspeer/ef750e7e407e04894cb3b78a82d66aed to your computer and use it in GitHub Desktop.
Save rspeer/ef750e7e407e04894cb3b78a82d66aed to your computer and use it in GitHub Desktop.
Download ZIP
Display the source blob
Display the rendered blob
Raw
how-to-make-a-racist-ai-without-really-trying.ipynb
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@marcusshepp
Copy link

Wow, great work! Awesome read! Was otherwise unaware of human biases in NLP.

@mboyanov
Copy link

Really nice :) Could we maybe use this "sentiment" classifier to classify ethnicity?

@sbliefnick1
Copy link

If for example you wanted to have four categories (positive, negative, mixed, neutral), how might you go about setting up the training data using Numberbatch?

@amueller
Copy link

image
Good job! ;)

@omoju
Copy link

omoju commented Jul 26, 2017

Excellent

@thommiano
Copy link

Very nice. Thanks!

@kyyberi
Copy link

kyyberi commented Aug 20, 2017

awesome educational story! Thanks!

@50stuck
Copy link

50stuck commented Jan 22, 2018

Really awesome notebook!

@kaagithub
Copy link

kaagithub commented Nov 29, 2022 •
edited

I cite your tutorial a lot and I'd like to use it in one of my courses on ethics and NLP.
As a first step, I would reuse it more or less as it is, but then I'd adapt it to French. Of course, I'd cite you.
Would it be ok with you? I could not reach you by email, but do not hesitate to contact me (karen.fort chez loria.fr).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment