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| 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)](docs/01_Use-Case-Assessment.pdf) | |
| - [EDA Observation Log (Week 2)](docs/02_EDA-Observation-Log.pdf) | |
| - [Dataset Datasheet (Week 3)](docs/03_Dataset-Datasheet.pdf) | |
| - [Model Selection Rationale (Week 4)](docs/04_Model-Selection-Rationale.pdf) | |
| - [Model Card (Week 6)](docs/05_Model-Card.pdf) | |
| - [Go/No-Go Decision Record (Week 7)](docs/06_Go-No-Go-Decision-Record.pdf) | |
| ## 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. | |