Overview
Social bias analysis of webpages (built by researchers, for researchers).
Analyze a webpage for social bias, using AI models from state-of-the-art bias detection papers (and implemented by the researchers who wrote them). You can find papers behind the models under the hood of the extension in our docs (https://ethical-spectacle-research.gitbook.io/fair-ly). The tasks this browser extension is meant to demonstrate are: - Binary text classification (sentence -> biased/unbiased). - Multi-label aspect classification (sentence -> gender bias, racial bias, etc). - Mutli-label token classification (sentence -> word level labels for generalization, unfairness, and stereotypes) Our Python package (the-fairly-project) also has a model inference pipeline set up for easy usage in code ;). A note about The Fair-ly Project: The Fair-ly Project is an open-source suite of resources for bias detection, started by authors of recent bias detection papers, to make these analysis tools more accessible to devs and users of all kinds. The project includes stream-lined documentation, a Python package for many models/tasks, and this extension. If you'd like to contribute, check out our GitHub: https://github.com/Ethical-Spectacle/fair-ly.
Details
- Version1.1
- UpdatedOctober 17, 2024
- Size96.54KiB
- LanguagesEnglish (United States)
- Developer
Email
maximuspowersdev@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
Fair-ly has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Fair-ly handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site
