Run a Mock Algorithmic-Discrimination Investigation for a Hiring-Tech Vendor
Overview
What this challenge is about.
Run a Mock Algorithmic-Discrimination Investigation for a Hiring-Tech Vendor. Expert-level challenge in strategy. Developing strategies for real business pro...
The Brief
What you'll do, and what you'll demonstrate.
Execute a mock algorithmic-discrimination investigation against an HR-tech vendor and produce a full response package plus exec readout.
This is not a case study exercise. It is the work a consultant does when a client needs a recommendation backed by evidence. That distinction matters to every hiring manager who has seen candidates recite Porter's Five Forces and none who have built a recommendation a client would actually pay for.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Anticipate regulator demands under the EU AI Regulation and non-discrimination law
- Produce the artifacts a high-risk AI vendor must hold ready
- Run a structured incident-style exercise across legal, ML, and product
- Communicate posture and gaps to a C-suite audience
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Regulatory Analysis
Apply regulatory analysis to solve real industry problems and demonstrate production-level capability.
- Algorithmic Fairness
Apply algorithmic fairness to solve real industry problems and demonstrate production-level capability.
- Ai Governance
Apply ai governance to solve real industry problems and demonstrate production-level capability.
- Risk Mapping
Apply risk mapping to solve real industry problems and demonstrate production-level capability.
- Incident Response
Apply incident response to solve real industry problems and demonstrate production-level capability.
- Stakeholder Communication
Apply stakeholder communication 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
Running a regulator-mock exercise across legal, ML, and product is exactly the cross-functional muscle a senior AI PM uses in regulated markets.
This challenge sharpens
- regulatory-analysis
- ai-governance
- stakeholder-communication
AI Safety Researcher
Algorithmic-fairness measurement and incident-response design are bread-and-butter safety researcher contributions.
This challenge sharpens
- algorithmic-fairness
- risk-mapping
- incident-response
AI Solutions Architect
Mapping response artifacts (DPIA, lineage, oversight) into actual engineering systems is the architect's daily craft.
This challenge sharpens
- ai-governance
- risk-mapping
- regulatory-analysis