Design an Internal AI-Use Policy for a Mid-Cap Bank
Overview
What this challenge is about.
You receive the bank's existing IT-acceptable-use policy and a description of which AI tools are being rolled out (an internal Anthropic Claude wrapper for general use; a code-completion tool for engineering). Draft a 6-page AI-use policy covering: permitted uses, prohibited uses, customer-data handling, attribution requirements, escalation paths. Design a 1-page front-line communication summary. Stress-test by writing a short ruling for 10 gray-area scenarios provided in the brief (e.g., 'can a relationship manager paste a client's financial summary into the tool?').
The Brief
What you'll do, and what you'll demonstrate.
Draft an AI-use policy that's clear to front-line staff, defensible to risk, and approved by the works council.
Earning criteria — what you'll demonstrate
- Translate AI governance principles into operational policy language
- Reason about co-determination and works-council dynamics
- Design policy that holds up against realistic gray-area scenarios
- Plan stakeholder-aware rollout communication
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
AI Product Manager
Policy drafting + stakeholder navigation is the senior-AI-PM skill that gets generative AI shipped inside regulated industries.
This challenge sharpens
- ai-governance
- policy-design
- stakeholder-analysis
AI Safety Researcher
Operationalizing responsible-AI principles into ruling-grade policy maps onto AI safety researcher roles inside enterprises.
This challenge sharpens
- responsible-ai
- ai-governance
- regulatory-analysis