Design an Internal AI-Use Policy for a Mid-Cap Bank
Overview
What this challenge is about.
Draft an AI-use policy for a mid-cap bank, covering data handling and gray-area rulings. Get a verifiable certificate.
The scenario
The bank (around 3,500 staff, around EUR 90B assets under management, German retail + SME focus) is under works-council scrutiny over employee AI use and needs a policy that lands without triggering a co-determination dispute.
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.
AI Ethics, Fairness, and Responsible AI
Master · Responsible Ai
Strong alignment
This challenge maps to AI Ethics, Fairness, and Responsible AI at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Ai Governance
Apply ai governance to solve real industry problems and demonstrate production-level capability.
- Policy Design
Apply policy design to solve real industry problems and demonstrate production-level capability.
- Responsible Ai
Apply responsible ai to solve real industry problems and demonstrate production-level capability.
- Stakeholder Analysis
Apply stakeholder analysis to solve real industry problems and demonstrate production-level capability.
- Technical Writing
Apply technical writing to solve real industry problems and demonstrate production-level capability.
- Regulatory Analysis
Apply regulatory analysis to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
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