[Official Code] Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation

Bias detection Toolkit: Chrome Extension, Python Package, SOTA research paper docs.

Analysis of nearly-coincident cloud top height (CTH) Level 2 data from MISR and MODIS on-board NASA's Terra satellite and ISS-CATS to validate passive sensor products.

Socio-economic data platform -with AI assistance layer: indicators, comparisons, data explorer, embeddable charts (FastAPI + DuckDB + ECharts) and LLM integration for content generation according to different biases.

This repo contains the annotations and other artifacts of the paper titled: In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages

Predicting diabetes risk from BRFSS health indicators with interpretable ML, threshold optimization, and bias/subgroup analysis.

Benchmark tool aimed at evaluating biases of large language models

DEGO Course Project — Team S— Data quality assessment and bias analysis for a credit approval dataset

Deep learning project using PyTorch to classify facial emotions and analyze dataset bias (neutral, surprise, focused, angry).

Responsible AI dashboard for employee attrition analysis using ML, fairness metrics, and explainability

Statistical cybersecurity analysis of NIST CSF-to-NESCOR threat mappings (AMI/DER/DGM) with reproducible data integration, descriptive analytics, hypothesis testing, and bias-aware interpretation.