AI Impact Analysis

Analyze ethical, privacy and sustainability impacts of your AI systems using our advanced evaluation tools.

Evaluate Your AI Systems

Bias Analysis

Test your datasets and models for hidden biases. Our AI ethics framework identifies fairness gaps across protected categories.

Privacy Evaluation

Simulate data privacy attacks and quantify information leakage risk using state-of-the-art differential privacy metrics.

Sustainability Metrics

Calculate model energy consumption and carbon footprint based on training parameters, inference hardware, and deployment patterns.

Quick Analysis Example

Model Type

Dataset Size

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Training Samples

Ethical AI Insights from Our Community

2025-08 | ETH Zurich

Bias Analysis in Medical Diagnosis

Our team evaluated 3 major medical AI models and found significant racial biases in diagnosis accuracy. The results prompted three healthcare providers to implement bias mitigation procedures.

Prof. Lena Hartmann

2025-07 | Stanford

Privacy Risk in Financial AI

Through our platform, we uncovered information leakage vulnerabilities in 17 financial risk assessment models. The findings contributed to new data anonymization standards.

Dr. James Lee

Y.Ethics