A machine learning tool that predicts the risk of loan default using borrower financial data and outputs model probabilities and classifications from logistic regression, XGBoost, and a neural network.
LLM complaint insights: Structured summaries, risk tags, and entity extraction on CFPB consumer complaints — built with OpenAI + LangChain, MLflow, Streamlit.
Reference repository outlining protocol-level risk and liability classification concepts; taxonomy reference, not insurance or financial advice.
Research on systemic failures in AI applications identified through news media, exploring risk factors and mitigation taxonomies.
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