https://github.com/jolares/ai-ethics-fairness-and-bias
Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias in machine learning (ML) models throughout the AI application lifecycle.
https://github.com/jolares/ai-ethics-fairness-and-bias
ai-fairness bias-measurement debiasing ml-fairness
Last synced: about 1 month ago
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Sample project using IBM's AI Fairness 360 is an open source toolkit for determining, examining, and mitigating discrimination and bias in machine learning (ML) models throughout the AI application lifecycle.
- Host: GitHub
- URL: https://github.com/jolares/ai-ethics-fairness-and-bias
- Owner: jolares
- Created: 2021-07-25T15:32:40.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-10-31T20:42:49.000Z (over 3 years ago)
- Last Synced: 2025-02-19T12:53:17.545Z (2 months ago)
- Topics: ai-fairness, bias-measurement, debiasing, ml-fairness
- Homepage:
- Size: 5.86 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# **Example AI Ethics Fairness Practices**
> TODO: Link to Blog Post Workshop
## **References**
- IBM's [AI Fairness 360](https://aif360.mybluemix.net/): _This extensible open source toolkit can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle._
- Google's [What-If-Tool](https://pair-code.github.io/what-if-tool/): _Using WIT, you can test performance in hypothetical situations, analyze the importance of different data features, and visualize model behavior across multiple models and subsets of input data, and for different ML fairness metrics._
- Georgia Institute of Technology's [CS 6603: AI, Ethics, and Society](https://omscs.gatech.edu/cs-8803-o10-ai-ethics-and-society).
- UC Berkley's [Algorithmic Fairness & Opacity Lecture Series](https://www.ischool.berkeley.edu/events/algorithmic-fairness).