README.md

metadata

title: Corvana Bank LimitWise
emoji: 💳
colorFrom: green
colorTo: gray
sdk: gradio
sdk_version: 6.31.0
python_version: '3.12'
app_file: app.py
pinned: false
license: cc-by-4.0
models:
  - drdavidprivacy/limitwise-model
datasets:
  - drdavidprivacy/limitwise-data
  - drdavidprivacy/practicum-case-packs
short_description: LimitWise v2, the signed model and its dossier

LimitWise v2: Corvana Bank

Governance analyst: [YOUR NAME]

Program: AI Governance Practicum, Track 1, cohort 1

This page is the public home of a governed system. The model is LimitWise v2, the version the Chief AI Officer signed in Week 6. The app has three pages: the model (its fixed weights and three example accounts), monitoring (upload a monthly file and read it against the training file and the tripwires), and the dossier (the six documents below).

The signed version

• File: limitwise_v2.pkl, 18,636 bytes, SHA-256 9010c6ff9746c5dbf9cebff4c746832864c4f2321d016cc5f3b226847882f705

• Recalibration object: limitwise_v2_recalibrated.pkl, 89,015 bytes, SHA-256 b6508dfcc69ca108e3f08fc2be0843dab1d2517355970b8e622e52a34127ca37 (the isotonic recalibration the Week 6 memo ratified; the odds correction to the 3 percent book rate, 0.1089, is applied in the app)

• Plain-language reasons: reasons.csv (one reason for every value of every input)

• Operating point: the top 10 percent of the ranked file

• Libraries: scikit-learn 1.9.1, fairlearn 0.15.0

• Data: the remediated working file in the program's dataset repository, loaded by link, never copied here: https://huggingface.co/datasets/drdavidprivacy/practicum-case-packs/resolve/main/corvana_modeling_extract_remediated.csv (MD5 f79f13a5119f78572e9f6cc3243ea6ae)

• Model repository (the model card and the weights): https://huggingface.co/drdavidprivacy/limitwise-model. Dataset repository (the datasheet and the remediation log): https://huggingface.co/datasets/drdavidprivacy/limitwise-data

The dossier

The six deliverables, in course order. Each opens in the browser.

• Use Case Assessment (Week 1)
• EDA Observation Log (Week 2)
• Dataset Datasheet (Week 3)
• Model Selection Rationale (Week 4)
• Model Card (Week 6)
• Go/No-Go Decision Record (Week 7)

What this page is not

A score says where a cardholder's record ranks on one list. It is not a decision about the cardholder. The decisions, and the conditions on them, are in the Go/No-Go Decision Record above.

Source

Built for the AI Governance Practicum (AI Governance Collective). The organization, the people, and the program are fictional. The data is a public dataset, remediated and documented in the dossier's datasheet.