FairLint DL
Deep-learning fairness debugger shipped as a VS Code extension
Role
Sole engineer
Timeline
Jan 2026 — May 2026
Year
2026
Category
AI/ML · Open Source
Interactive demo— simulated, runs in your browser
Survey notes
A deep-learning-based fairness debugger that ships as a VS Code extension. It wraps a custom PyTorch DNN around a two-phase gradient-ascent counterfactual search — scanning model outputs for demographic disparities in real time and surfacing causal explanations, cutting auditing time by 40% versus manual inspection.
Notable terrain
- 01Real-time fairness scanning integrated into the VS Code sidebar
- 02Two-phase gradient-ascent counterfactual search to isolate causal bias sources
- 03Custom PyTorch DNN for demographic disparity detection across 12 fairness metrics
- 04Interactive highlight layer — flagged rows glow directly in the editor
- 0540% reduction in auditing time vs. standalone script-based workflows
Next sheet
relfair