zhongwei/gh-jeremylongshore-claude-code-plugins-plus-plugins-ai-ml-ai-ethics-validator
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Initial commit

Browse Source
This commit is contained in:
Zhongwei Li
2025-11-29 18:50:51 +08:00
commit d03c452fed
11 changed files with 404 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

46
skills/ai-ethics-validator/assets/example_dataset.csv Normal file
View File

@@ -0,0 +1,46 @@
# example_dataset.csv
# This is an example dataset for testing the ai-ethics-validator plugin.
# It contains sample data with features that might be relevant to fairness and ethical considerations.
#
# Columns:
# - ID: Unique identifier for each record.
# - Age: Age of the individual.
# - Gender: Gender of the individual (Male, Female, Other).
# - Income: Annual income of the individual.
# - Education: Highest level of education attained (e.g., High School, Bachelor's, Master's, PhD).
# - Location: Geographic location (e.g., Urban, Rural, Suburban).
# - Decision: The decision made by the AI system (e.g., Approved, Denied). This is the target variable.
# - Race: Race of the individual (e.g., White, Black, Asian, Hispanic, Other). Important for fairness analysis.
#
# Note: This is synthetic data and does not represent any real individuals.
# Replace this with your actual dataset for real-world validation.
#
# To use this dataset with the plugin, ensure it is accessible to the plugin's environment.
ID,Age,Gender,Income,Education,Location,Decision,Race
1,25,Male,50000,Bachelor's,Urban,Approved,White
2,32,Female,60000,Master's,Suburban,Approved,Black
3,48,Male,75000,PhD,Urban,Approved,Asian
4,28,Female,45000,High School,Rural,Denied,Hispanic
5,35,Male,55000,Bachelor's,Suburban,Approved,White
6,41,Female,70000,Master's,Urban,Approved,Black
7,22,Male,30000,High School,Rural,Denied,White
8,50,Female,80000,PhD,Suburban,Approved,Asian
9,29,Male,52000,Bachelor's,Urban,Approved,Hispanic
10,38,Female,65000,Master's,Rural,Denied,Black
11,26,Male,48000,High School,Suburban,Denied,White
12,45,Female,72000,PhD,Urban,Approved,Asian
13,31,Male,58000,Bachelor's,Rural,Approved,Hispanic
14,23,Female,35000,High School,Urban,Denied,Black
15,55,Male,90000,Master's,Suburban,Approved,White
16,40,Female,68000,PhD,Rural,Approved,Asian
17,27,Male,51000,Bachelor's,Urban,Approved,Hispanic
18,34,Female,62000,Master's,Suburban,Approved,Black
19,49,Male,78000,PhD,Rural,Approved,White
20,30,Female,46000,High School,Urban,Denied,Asian
21,24,Male,32000,High School,Rural,Denied,Hispanic
22,52,Female,85000,PhD,Suburban,Approved,Black
23,37,Male,60000,Bachelor's,Urban,Approved,White
24,43,Female,74000,Master's,Rural,Approved,Asian
25,21,Male,28000,High School,Suburban,Denied,Hispanic
# Add more rows as needed. Ensure sufficient diversity in the data.
1 # example_dataset.csv
2 # This is an example dataset for testing the ai-ethics-validator plugin.
3 # It contains sample data with features that might be relevant to fairness and ethical considerations.
4 #
5 # Columns:
6 # - ID: Unique identifier for each record.
7 # - Age: Age of the individual.
8 # - Gender: Gender of the individual (Male, Female, Other).
9 # - Income: Annual income of the individual.
10 # - Education: Highest level of education attained (e.g., High School, Bachelor's, Master's, PhD).
11 # - Location: Geographic location (e.g., Urban, Rural, Suburban).
12 # - Decision: The decision made by the AI system (e.g., Approved, Denied). This is the target variable.
13 # - Race: Race of the individual (e.g., White, Black, Asian, Hispanic, Other). Important for fairness analysis.
14 #
15 # Note: This is synthetic data and does not represent any real individuals.
16 # Replace this with your actual dataset for real-world validation.
17 #
18 # To use this dataset with the plugin, ensure it is accessible to the plugin's environment.
19 ID,Age,Gender,Income,Education,Location,Decision,Race
20 1,25,Male,50000,Bachelor's,Urban,Approved,White
21 2,32,Female,60000,Master's,Suburban,Approved,Black
22 3,48,Male,75000,PhD,Urban,Approved,Asian
23 4,28,Female,45000,High School,Rural,Denied,Hispanic
24 5,35,Male,55000,Bachelor's,Suburban,Approved,White
25 6,41,Female,70000,Master's,Urban,Approved,Black
26 7,22,Male,30000,High School,Rural,Denied,White
27 8,50,Female,80000,PhD,Suburban,Approved,Asian
28 9,29,Male,52000,Bachelor's,Urban,Approved,Hispanic
29 10,38,Female,65000,Master's,Rural,Denied,Black
30 11,26,Male,48000,High School,Suburban,Denied,White
31 12,45,Female,72000,PhD,Urban,Approved,Asian
32 13,31,Male,58000,Bachelor's,Rural,Approved,Hispanic
33 14,23,Female,35000,High School,Urban,Denied,Black
34 15,55,Male,90000,Master's,Suburban,Approved,White
35 16,40,Female,68000,PhD,Rural,Approved,Asian
36 17,27,Male,51000,Bachelor's,Urban,Approved,Hispanic
37 18,34,Female,62000,Master's,Suburban,Approved,Black
38 19,49,Male,78000,PhD,Rural,Approved,White
39 20,30,Female,46000,High School,Urban,Denied,Asian
40 21,24,Male,32000,High School,Rural,Denied,Hispanic
41 22,52,Female,85000,PhD,Suburban,Approved,Black
42 23,37,Male,60000,Bachelor's,Urban,Approved,White
43 24,43,Female,74000,Master's,Rural,Approved,Asian
44 25,21,Male,28000,High School,Suburban,Denied,Hispanic
45 # Add more rows as needed. Ensure sufficient diversity in the data.