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


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3833199", 
  "container_title": "The Journal of Open Source Software", 
  "title": "FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems", 
  "issued": {
    "date-parts": [
      [
        2020, 
        5, 
        19
      ]
    ]
  }, 
  "abstract": "<p><a href=\"https://fat-forensics.org/\">FAT Forensics</a> is a Python toolbox for evaluating fairness, accountability and transparency of predictive systems. It is built on top of <a href=\"https://www.scipy.org/\">SciPy</a> and <a href=\"https://www.numpy.org/\">NumPy</a>, and is distributed under the 3-Clause BSD license (new BSD).</p>", 
  "author": [
    {
      "family": "Sokol, Kacper"
    }, 
    {
      "family": "Hepburn, Alexander"
    }, 
    {
      "family": "Poyiadzi, Rafael"
    }, 
    {
      "family": "Clifford, Matthew"
    }, 
    {
      "family": "Santos-Rodriguez, Raul"
    }, 
    {
      "family": "Flach, Peter"
    }
  ], 
  "version": "0.1.0", 
  "type": "article", 
  "id": "3833199"
}
132
15
views
downloads
All versions This version
Views 132132
Downloads 1515
Data volume 27.0 MB27.0 MB
Unique views 108108
Unique downloads 1414

Share

Cite as