Software Open Access
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
Sokol, Kacper;
Hepburn, Alexander;
Poyiadzi, Rafael;
Clifford, Matthew;
Santos-Rodriguez, Raul;
Flach, Peter
FAT Forensics is a Python toolbox for evaluating fairness, accountability and transparency of predictive systems. It is built on top of SciPy and NumPy, and is distributed under the 3-Clause BSD license (new BSD).
Files
(1.8 MB)
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|---|---|---|
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fat-forensics/fat-forensics-0.1.0.zip
md5:8c860936b8d8934212fdecf5cb9ae26c |
1.8 MB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 208 | 181 |
| Downloads | 18 | 16 |
| Data volume | 32.5 MB | 28.8 MB |
| Unique views | 179 | 155 |
| Unique downloads | 17 | 15 |
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- Publication date:
- May 19, 2020
- DOI:
-
- Keyword(s):
- Fairness Accountability Transparency Artificial Intelligence Machine Learning Software Python Toolbox
- Published in:
- The Journal of Open Source Software:.
- Related identifiers:
- Documented by
- 10.21105/joss.01904 (Journal article)
- arXiv:1909.05167 (Preprint)
- Supplement to
- License (for files):
- Other (Open)