# Stakeholders and Ethical Dilemmas — AI Strategy, Ethics and Governance

Source: https://www.geekswithgeeks.com/en/ai-strategy-governance/eth-stakeholders

> Identify who is affected, including people who never use the system, and weigh trade-offs openly.

## Think beyond the user

A hiring screener affects **applicants** who never chose to use it. A support bot affects **agents** whose jobs change. A recommender affects **communities**. List every affected group, ask what each gains and risks, and notice whose voice is missing. Real dilemmas arise when goals conflict: **accuracy vs explainability**, **personalisation vs privacy**, **efficiency vs jobs**, **automation vs human judgement**. There is rarely a perfect answer; the aim is a **reasoned, documented, reviewable** choice made by accountable people.

## A stakeholder table

Fill it for every high-impact use case. The "Voice" column forces you to say how that group is heard.

```text
Group              Benefit                 Risk                       Voice
Applicants         faster response         unfair screening           appeal route + human review
Recruiters         less manual sorting     over-trusting scores       training, override button
Hiring managers    better shortlists       missing good candidates    quarterly sample audit
Society/regulators consistent process      systematic bias            published summary, audits
```

**Quiz:** Who might be affected by an AI hiring screener besides its users?

- [x] Job applicants who are screened by it
- [ ] Nobody
- [ ] Only the developers
- [ ] Only the cloud provider

*Answer:* Job applicants who are screened by it. The people the system makes decisions about are stakeholders even if they never use it.