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shu

AI fairness checker

https://github.com/rexyuan/shu

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (4.7%) to scientific vocabulary

Keywords

ai-fairness fairness fairness-ai
Last synced: 6 months ago · JSON representation ·

Repository

AI fairness checker

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
ai-fairness fairness fairness-ai
Created almost 2 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Ensuring Fairness with Transparent Auditing of Quantitative Bias in AI Systems

With the rapid advancement of AI, there is a growing trend to integrate AI into decision-making processes. However, AI systems may exhibit biases that lead decision-makers to draw unfair conclusions. Notably, the COMPAS system used in the American justice system to evaluate recidivism was found to favor racial majority groups; specifically, it violates a fairness standard called equalized odds. Various measures have been proposed to assess AI fairness. We present a framework for auditing AI fairness, involving third-party auditors and AI system providers, and we have created a tool to facilitate systematic examination of AI systems. The tool is open-sourced and publicly available. Unlike traditional AI systems, we advocate a transparent white-box and statistics-based approach. It can be utilized by third-party auditors, AI developers, or the general public for reference when judging the fairness criterion of AI systems.

Owner

  • Name: Rex Yuan
  • Login: RexYuan
  • Kind: user
  • Location: Taipei

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Yuan"
  given-names: "Chih-Cheng Rex"
  affiliation: "Institute of Information Science, Academia Sinica, Taipei, Taiwan"
- family-names: "Wang"
  given-names: "Bow-Yaw"
  affiliation: "Institute of Information Science, Academia Sinica, Taipei, Taiwan"
title: "Fairness Checker"
version: 0.1.13
date-released: 2024-08-24
url: "https://github.com/RexYuan/Shu/"

GitHub Events

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