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Module 02 · The AI Governance Landscape

FinStream AI Risk Triage and Governance Strategy

You are a Product Owner at 'FinStream.' Your team is building an AI tool that predicts creditworthiness. You must determine if this is 'High-Risk' under the EU AI Act and use the NIST AI RMF framework to document how you will manage potential bias (such as ZIP codes acting as proxies for race) before the legal department shuts the project down. Use the BYOP system you selected in Module 1 as a reference point when making categorization decisions.

45 minBeginner 3 outcomes 6 steps · 3 checkpoints
lab progress0/9 · 0%

Step-by-step

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Dataset

finstream_ai_inventory.csv

10 rows of FinStream AI projects with project_id, name, domain, and description. Includes a duplicate row and one missing value to test data hygiene.

FS02 appears twice (duplicate to delete). FS08 has a blank 'domain' cell (fill with 'Retail').

project_id(string)name(string)domain(string)description(string)
FS01CreditScorer ProFinancePredicts creditworthiness for loan approvals using transaction history and ZIP code
FS02ChatBot AssistCustomer ServiceGeneric FAQ chatbot for customer support
FS02ChatBot AssistCustomer ServiceGeneric FAQ chatbot for customer support
FS03CV-FilterHRScreens resumes for engineering roles, ranks candidates
FS04SocialScore GlobalGovernmentReal-time citizen behavior scoring across public services
FS05HealthDiagnoseHealthcareRecommends triage priority for emergency room intake
FS06AdTargeterMarketingPersonalized ad recommendations based on browsing behavior
FS07SpamFilter v3ITClassifies inbound email as spam or legitimate
FS08DemandForecastPredicts product demand for inventory planning
FS09DeepFakeDetectSecurityDetects AI-generated video deepfakes in user uploads

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