ML model to detect malicious use of TakeTwo crowdsourced labeling

[demilolu]

Background on the problem the feature will solve/improved user experience

As an open-source, data crowdsourced solution, there is potential for malicious use/contributions

Describe the solution you'd like

Develop an ML model(s) that detects malicious use such as:

• seeking to spam
• alter what is considered by racist, by making offensive racist terms seem less racist or identifying non-racist, benign terms as racist with the intent of making the api useless (by classifying everything as racist)

• Tasks

  Description of the development tasks needed to complete this issue, including tests,

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.

[github-actions[bot]]

:wave: Hi! This issue has been marked stale due to inactivity. If no further activity occurs, it will automatically be closed in 14 days.

[demilolu]

reopening - not yet complete.

[github-actions[bot]]

:wave: Hi! This issue has been marked stale due to inactivity. If no further activity occurs, it will automatically be closed in 14 days.