AmirhosseinHonardoust/Cognitivelens-AI-Human-Comparison

CognitiveLens is a Streamlit-powered analytics tool for exploring alignment between human and AI decisions. It visualizes fairness, calibration, and interpretability through metrics like Cohen’s κ, AUC, and Brier score. Designed for ethical AI, bias auditing, and decision transparency in machine learning systems.

25
/ 100
Experimental

This tool helps AI ethics officers, data scientists, and risk managers understand how well AI decision-making aligns with human judgment. You input data containing both human decisions and AI predictions, along with sensitive demographic features. It then outputs visual dashboards and metrics that highlight areas of agreement, disagreement, and potential biases in the AI's performance across different groups.

Use this if you need to evaluate the fairness, consistency, and ethical implications of your AI models by directly comparing their decisions against human experts or ground truth.

Not ideal if you're only interested in optimizing AI model performance metrics like accuracy, without needing to scrutinize the ethical alignment or interpretability of its decisions.

AI-ethics bias-auditing decision-transparency model-validation fairness-analysis
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 13 / 25
Community 0 / 25

How are scores calculated?

Stars

22

Forks

Language

Python

License

MIT

Last pushed

Nov 05, 2025

Commits (30d)

0

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