Human Rights
A neutral presentation can hide an injustice. Where does it lie?
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Core
Algorithms can discriminate under the appearance of neutrality. Here you design tests that show how language, culture, gender, origin or class can turn into statistical bias.
Before you start
Before you start: the human anchor is about your thinking, not spelling, presentation or a perfect result. You may use dictation or speech-to-text if that suits you better, and it is fine to make mistakes. Choose an example you feel comfortable sharing. In the algorithmic pivot, you may use any AI tool; a free account is enough and you do not need a subscription.Human Anchor
Write the first part of the project without AI. The goal is to create a human benchmark that can later be compared with algorithmic analysis. The text should be personal, grounded in your own experience, and detailed enough so that AI cannot simply replace it with a generic summary.
Choose a human rights issue, an equality issue, freedom of expression, minority rights, or the status of the Icelandic language in technological systems. Write about why the issue matters to you and what injustice can lie in a neutral presentation.
Scope
- 1,000 words minimum, unless the teacher decides on a shorter test version.
- No AI, no automated rewriting, and no machine translation.
- Use your own examples, your own words, and state clearly what you are unsure about.
Include This
- What you know or think before AI is involved in the work.
- What experience, memory, physical observation, or local knowledge shapes your perspective.
- Which three questions you want to have AI challenge in the next step.
Assessment
The teacher does not assess whether the text is perfect. They assess whether the human voice, the student's own judgment, and real context are clear enough to hold up against algorithmic output later in the project.
Algorithmic Pivot
Have AI analyze imaginary or public data on hiring, admissions, loans, or services. Ask it to find patterns, predict an outcome, and explain which variables it considers neutral.
Fyrirspurn til gervigreindar
This is a ready-made frame to use in Step 2. It disciplines the AI by giving it a role, a task, constraints and verification questions, instead of a free-form chat. Copy it, try it, and adapt it to your own project.
- Role
- You are a critical assistant in the Tækniseigla category Human Rights. You are to expand the student's analysis without taking the responsibility away from them.
- Task
- Design a testing framework that exposes algorithmic bias in a decision-making system.
- Constraints
- Do not use personally identifiable data about real people.
- Distinguish correlation from justification.
- Propose human rights-based guardrails that can be tested.
- Verification questions
- 3 verification questions are included in the copied prompt. You answer them in step 3.
Fiduciary Anchor
The accountability document is the final gate of the project. Here you show that you can use AI without hiding behind it. All claims that survive in the final product require verification, a clear disclaimer, or a conscious rejection.
Hack the machine with evals. Show how the model can discriminate against people who do not speak standard English, do not follow Western patterns, or fit poorly into historical data. Propose guardrails.
1. AI Process
Record which tool was used, which prompts were tested, what changed between versions, and which parts of the output first seemed convincing.
2. Verification
Use at least three independent pillars depending on the nature of the project: a primary source, official data, an academic source, your own calculation, physical testing, expert assessment, or comparison with human experience.
3. Errors and Blind Spots
Answer these questions:
- Which group loses if historical data is allowed to dictate the outcome?
- Which variable seems neutral but acts as a proxy for a protected characteristic?
- What human review is required before a decision affects rights?
4. Rejection
Name at least two points that you reject from the AI output. Explain whether they were incorrect, unproven, ethically weak, too general, or simply not in line with your human anchor.
5. Accountability Statement
Conclude with a brief statement in the first person: what you take responsibility for, what you do not yet know, and what decision you would never delegate to AI.
Now it is your turn. The exercise is the bridge between step 2 and step 3.
Go to exerciseFor teachers, competency line: Direction-holding
That is the whole module: anchor, pivot, accountability. The work itself happens off this page.