Call-for-Code-for-Racial-Justice / Call-for-Code-for-Racial-Justice/TakeTwo-DataScience

ML model to debias biased content

Ouverte
#20 4 commentaires 0 réactions 0 personnes assignées Voir sur GitHub
design-thinking Machine Learning
Langage dominant
Jupyter Notebook
Étoiles
8
Forks
8
Métriques de merge des PR
Aucune PR mergée en 30 j

Description

### Background on the problem the feature will solve/improved user experience
People who use TakeTwo might not only want to detect racially biased content but receive help on how to debias their content.

### Describe the solution you'd like
Machine learning models that are able to debias content that is found to be racially biased.

### Tasks
- Confirm this is a real painpoint for others
- gather datasets
- experiments
- TBD

### Acceptance Criteria
Standards we believe this issue must reach to be considered complete and ready for a pull request. E.g precisely all the user should be able to do with this update, performance requirements, security requirements, etc as appropriate.

Guide de contribution

Ouvrir le guide de contribution

Évaluation

Cette issue n'a pas encore été évaluée.

Recevez les nouvelles issues par e-mail

Un résumé court des issues GitHub adaptées aux débutants.