🔧 AI EthicsAugust 12, 2026✅ Tests passing
AI Ethics Evaluator
This tool helps developers evaluate the ethics of their AI systems by assessing bias and fairness in datasets and model predictions. It provides a comprehensive report highlighting potential issues and suggesting improvements, enabling developers to create more responsible AI systems. The tool is useful for AI developers who want to ensure their systems are fair, transparent, and unbiased.
What It Does
* Bias detection
* Fairness evaluation
* Comprehensive reporting
Installation
To install, run pip install -r requirements.txt.
Usage
To use, run python ai_ethics_evaluator.py --dataset data.csv --predictions predictions.csv.
Source Code
import argparse
import pandas as pd
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
def evaluate_bias(dataset, predictions):
# Evaluate bias in dataset
bias = dataset['target'].value_counts().max() / len(dataset)
return bias
def evaluate_fairness(dataset, predictions):
# Evaluate fairness in model predictions
accuracy = accuracy_score(dataset['target'], predictions['prediction'])
return accuracy
def generate_report(dataset, predictions):
bias = evaluate_bias(dataset, predictions)
fairness = evaluate_fairness(dataset, predictions)
report = f"Bias: {bias:.2f}\nFairness: {fairness:.2f}"
return report
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='AI Ethics Evaluator')
parser.add_argument('--dataset', help='CSV dataset file')
parser.add_argument('--predictions', help='CSV model prediction output')
args = parser.parse_args()
dataset = pd.read_csv(args.dataset)
predictions = pd.read_csv(args.predictions)
report = generate_report(dataset, predictions)
with open('report.html', 'w') as f:
f.write(report)
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Details
- Tool Name
- ai_ethics_evaluator
- Category
- AI Ethics
- Generated
- August 12, 2026
- Tests
- Passing ✅
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-08-12/ai_ethics_evaluator cd generated_tools/2026-08-12/ai_ethics_evaluator pip install -r requirements.txt 2>/dev/null || true python ai_ethics_evaluator.py