from copilot:
Below is a class‑ready set of 24 roles in a hypothetical AI company, designed specifically for a business simulator.
Each job includes what students would do and the ethical issues they would need to analyze, debate, and manage.
You can assign these as individual roles or teams competing/cooperating inside one simulated firm.
Executive & Strategy Roles
1. Chief Executive Officer (CEO)
Focus: Vision, growth, accountability
Ethical Tensions:
- Profit vs. public harm
- Speed of innovation vs. safety
- Accountability when AI causes damage
2. Chief Ethics Officer (AI & Data)
Focus: Ethics governance across products
Ethical Tensions:
- Enforcing ethical limits that reduce revenue
- Whistleblowing vs. loyalty to leadership
3. Chief Technology Officer (CTO)
Focus: Technical direction and architecture
Ethical Tensions:
- Releasing models before adequate testing
- Choosing accuracy over explainability
4. Chief Financial Officer (CFO)
Focus: Budgets, pricing, profitability
Ethical Tensions:
- Funding ethics teams vs. cutting costs
- Pricing AI access fairly vs. maximizing profit
5. Head of Corporate Strategy
Focus: Market entry, partnerships, mergers
Ethical Tensions:
- Entering high-risk markets (surveillance, defense)
- Partnering with ethically questionable clients
Product & Engineering Roles
6. AI Product Manager
Focus: Product requirements and roadmaps
Ethical Tensions:
- Feature creep that increases surveillance
- Designing for engagement vs. well-being
7. Machine Learning Engineer
Focus: Model building and optimization
Ethical Tensions:
- Bias in training data
- Optimizing performance at the cost of fairness
8. Data Engineer
Focus: Data pipelines and storage
Ethical Tensions:
- Collecting data users didn’t knowingly consent to
- Retaining data longer than necessary
9. Model Evaluation Scientist
Focus: Testing accuracy, bias, robustness
Ethical Tensions:
- Pressure to downplay harmful results
- Deciding what “acceptable error” means
10. Explainability & Interpretability Engineer
Focus: Making AI decisions understandable
Ethical Tensions:
- Trade-offs between transparency and IP secrecy
- Oversimplifying explanations for non-experts
Ethics, Risk & Governance Roles
11. AI Ethics Researcher
Focus: Long-term societal impacts
Ethical Tensions:
- Ethical warnings ignored by leadership
- Handling controversial research findings
12. Responsible AI Program Manager
Focus: Translating ethics into practice
Ethical Tensions:
- Ethics as “checkbox compliance” vs. real change
- Authority without enforcement power
13. Compliance & Regulation Manager
Focus: Laws, standards, audits
Ethical Tensions:
- Following the letter vs. spirit of the law
- Operating globally with conflicting regulations
14. Risk Assessment Analyst
Focus: Mapping harms and worst-case scenarios
Ethical Tensions:
- Releasing risky products under competitive pressure
- Quantifying human harm in business terms
15. Incident Response Manager (AI Failures)
Focus: Handling AI-caused harm or misuse
Ethical Tensions:
- Public transparency vs. legal exposure
- Who gets compensated when AI fails?
Business, Sales & External Impact
16. Head of Sales (Enterprise AI)
Focus: Selling AI solutions
Ethical Tensions:
- Selling to clients who may abuse the tool
- Overselling model capabilities
17. Government & Public Policy Liaison
Focus: Interaction with regulators
Ethical Tensions:
- Lobbying vs. public interest
- Influencing regulation to favor the company
18. Marketing & Communications Director
Focus: Messaging and branding
Ethical Tensions:
- “Ethics-washing” vs. honest disclosure
- Hiding known limitations from customers
19. Customer Success Manager
Focus: Client adoption and satisfaction
Ethical Tensions:
- Helping clients deploy AI responsibly
- Supporting uses that harm end-users
Workforce, Society & Long-Term Impact
20. Human-in-the-Loop Operations Lead
Focus: Managing human oversight teams
Ethical Tensions:
- Exploiting low-paid content moderators
- Psychological harm from reviewing toxic content
21. Workforce Impact Analyst
Focus: Automation and job displacement
Ethical Tensions:
- Designing AI that replaces workers
- Responsibility toward retraining and transitions
22. Diversity, Equity & Inclusion (DEI) Lead
Focus: Representation in teams and data
Ethical Tensions:
- Tokenism vs. real inclusion
- Measuring fairness meaningfully
23. Open Source & Research Community Manager
Focus: Engagement with external researchers
Ethical Tensions:
- Sharing knowledge vs. enabling misuse
- Credit and exploitation of unpaid contributors
24. Long-Term Risk & Alignment Researcher
Focus: Advanced AI risks and alignment
Ethical Tensions:
- Investing in speculative risks vs. current harms
- Research that may slow competitiveness
How to Use This in a Simulator
- Assign conflicting incentives (e.g., CEO vs. Ethics Officer)
- Introduce crisis events (bias scandal, regulatory probe)
- Require ethical risk memos before product launches
- Score teams on profit + ethical impact + public trust
If you’d like, I can also:
- Design decision decks for each role
- Create ethical dilemmas tied to quarterly results
- Map these roles into organizational charts or scenarios
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