Home▸AI & Machine Learning▸AI Ethics Simulator: Fairness, Privacy & Transparency in Neural Decisions

⚖️ AI Ethics Simulator: Fairness, Privacy & Transparency in Neural Decisions

Watch a neural network classify two demographic groups in real time. Tune fairness constraints, differential-privacy noise and human oversight, and see the demographic-parity gap, accuracy and privacy budget respond live.

AI & Machine Learning3DModerate60 FPS

Details

CategoryAI & Machine Learning

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsFairness-constraint slider (0-100%) reweights the decision boundary toward equal approval rates across groups; differential-privacy slider (noise/eps^-1) adds Laplace-style noise to inputs; Black box / Explainable buttons toggle pulsing feature-importance edges; Human oversight button adds a reviewer node that reverses denials driven mainly by group membership.

Three.jsAI ethicsfairnessdifferential privacyInstancedMesh

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⚙ Under the hood

Watch a neural network classify two demographic groups in real time. Tune fairness constraints, differential-privacy noise, explainability and human oversight, and see the demographic-parity gap, accuracy and privacy budget respond live.

Three.jsAI ethicsfairnessdifferential privacyInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install