XAI - An eXplainability toolbox for machine learning
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Updated
Nov 29, 2025 - Python
XAI - An eXplainability toolbox for machine learning
FairCoder: Probing LLM Bias in High-Stakes Decision Making via Coding Tasks
Measuring Biases in Masked Language Models for PyTorch Transformers. Support for multiple social biases and evaluation measures.
Context-driven valuation bias and halo effects across six multimodal LLMs (companion study to Lee, 2026)
Multi-agent, multi-model LLM bias evaluation and mitigation research app built with PyRIT.
Data Challenge leading to A Multidisciplinary Lens of Bias in Hate Speech
Reproducibility artifact for condition-aware selective abstention and BBQ condition-separability audits.
Evaluation framework for demographic invariance and safety response disparities in AI systems, with a focus on women's safety and gender based violence.
Release-level fairness drift audit pipeline for longitudinal LLM bias evaluation.
This repository consists of the source code of the final project of CS 6983 Bias / Ethics Implications in Artificial Intelligence
Synthetic red-team probe generation for cultural bias evaluation — Singapore AI Safety Red Teaming Challenge methodology + NeMo Data Designer
Abstention and bias scores in BBQ-style benchmarks: code, data and results
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