Digital Technologies / English / Social Inquiry • Years 10-13 • Teacher-ready exemplar

AI Bias Analysis Exemplar

Use this exemplar to show ākonga what a strong AI bias analysis looks like when it moves beyond opinion and into evidence, ethical reasoning, and cultural accountability. It models how to test claims about AI fairness through an Aotearoa lens.

Ingoa / Name
Akomanga / Class

Best for

Modelled writing, assessment calibration, class discussion about what quality analysis looks like, and moderation support for AI ethics tasks.

Kaiako use

Use before independent writing so students can see what evidence, fairness language, and tikanga-aware judgement sound like in practice.

Ākonga use

Students can annotate the exemplar, identify strong features, and compare it with their own developing response.

Use the exemplar, then generate your class version

Once students understand what a strong response looks like, adapt the same structure in Te Wānanga for your year level, local examples, or assessment focus.

Adapt in Te Wānanga See teacher workflow plans

Kaiako planning snapshot

  • Use timing: 10-15 minutes to unpack success features before students begin their own analysis.
  • Best grouping: Pairs or small groups highlighting what makes the exemplar strong.
  • Prep: Choose which section you want students to imitate: opening claim, evidence use, justice lens, or recommendations.
  • Teaching move: Ask what makes the response more than a list of complaints about AI.
  • Inclusion: For ESOL learners or those who need extra support, highlight two or three key sentences in the exemplar before the full read. For neurodiverse learners, offer a structured annotation template so they can engage with one feature at a time.

Resources already provided

  • Clear model of a strong AI bias analysis
  • Visible structure students can copy and adapt
  • Māori values and justice framing embedded in the exemplar
  • Curriculum companion for planning and moderation

Ngā Whāinga Akoranga / Learning Intentions

  • We are learning how to structure a strong AI bias analysis.
  • We are learning how to use evidence, examples, and values together.
  • We are learning how to judge AI systems through a Māori data sovereignty lens.

Paearu Angitu / Success Criteria

  • I can identify the features that make this exemplar convincing.
  • I can explain how the writer uses evidence and ethical reasoning together.
  • I can use the exemplar structure to improve my own response.

Curriculum integration / Te Marautanga alignment

This exemplar supports explicit teaching of critical reading, digital ethics, structured argument, and culturally grounded evaluation. Use the companion page when you need to show exactly how it connects to Te Mātaiaho expectations.

💻 AI ethics 🗣️ Evidence-based writing 🌿 Cultural accountability
Open curriculum companion

What makes this exemplar useful

Strong exemplar texts are not just “good answers”. They make quality visible. In this case, the writer names a specific AI system, tests its outputs, identifies who is harmed, and uses te ao Māori values to judge whether the system is trustworthy or mana-enhancing.

Students often need to see the difference between “AI is biased” as a vague claim and a stronger line such as “the system reproduced historical bias because its training data normalised one group’s experience and erased another’s”. This exemplar provides that difference.

Features to notice — scaffold for annotation

  • Specific system named: the writer identifies the AI tool rather than talking about “AI” in general.
  • Evidence included: prompts, outputs, or observed patterns are referenced clearly.
  • Harm is named: the writer explains who is affected and how.
  • Values are applied: concepts such as manaakitanga, kaitiakitanga, and tino rangatiratanga are used to evaluate the tool.
  • Recommendations are practical: the response does not stop at critique; it suggests what should change.

Suggested annotation prompts

  1. Highlight where the writer moves from evidence to judgement.
  2. Circle words or phrases that show fairness, justice, or cultural accountability.
  3. Mark one sentence that could become a model for your own writing.
  4. Identify where the writer explains consequences for people or communities.

Model response structure

  1. Opening claim: name the system and the main problem clearly.
  2. Evidence section: describe what the AI actually did.
  3. Ethical analysis: explain why that matters in terms of harm, bias, and representation.
  4. Māori lens: ask how authority, consent, and cultural safety are being treated.
  5. Recommendation: state what a safer or fairer system would need to include.

Teacher prompts for class discussion

  • What makes this response more convincing than a simple opinion paragraph?
  • Where does the writer show a specifically Aotearoa New Zealand lens rather than a generic technology critique?
  • How does the exemplar treat Māori values as analytical tools rather than decorative add-ons?
  • What could a weaker student response learn from this model immediately?

Teach this tomorrow

Print / share

  • This exemplar
  • A copy of the student task or bias-testing protocol

Decide before class

  • Which features of strong writing you want students to imitate
  • Whether students annotate independently or co-construct success features as a class

Look for by the end

  • Students can name the structure of a strong AI ethics response
  • Students can explain why evidence plus values makes the response stronger

All key resources are provided for

  • This handout gives the model and the teaching prompts for unpacking it.
  • Pair it with the testing protocol and scenario handouts for a full write-and-discuss sequence.
  • Move into Creation Studio or Te Wānanga if you want a class-specific writing task or rubric.

Turn this exemplar into a full class workflow

Use Te Wānanga to generate a differentiated writing task, then open Creation Studio to edit and save the version you will actually teach.

Generate lesson-ready version Open Creation Studio

Hononga Marautanga · Curriculum Alignment

Digital Technologies — Hangarau Matihiko

Level 4–5: Analyse and evaluate AI-generated outputs for bias, accuracy, and cultural representation; write a structured critical analysis using evidence, reasoning, and appropriate academic language.

Social Sciences — Tikanga ā-Iwi

Level 3–4: Understand how technology shapes relationships, power, and identity within communities; evaluate the impacts of digital innovation on society and culture.

Aronga Mātauranga Māori

This exemplar demonstrates what it looks like to analyse AI bias through a justice lens that takes mātauranga Māori seriously. The strongest analyses do not treat Māori culture as a special case to mention in passing — they understand that AI systems are not neutral tools but social artefacts that encode the values, blind spots, and power relations of those who built them. Calling out that bias with evidence, and naming what a better system would look like, is a form of intellectual tino rangatiratanga.

Ngā Rauemi Tautoko · Support Materials

Tuhia ōu whakaaro · Write Your Thoughts

Annotate: Identify one move this exemplar makes that you want to copy in your own analysis. Write what it is and why it works.

Curriculum alignment