Inclusive and Bias-Aware AI Use
Develop critical awareness of bias in AI tools and build inclusive prompting strategies to ensure AI-generated content is fair, representative, and appropriate for diverse learners.

DIGCOMPEDU KOMPETENCEOMRÅDE(R)
Evaluering, Styrkelse af kursister, Fremme af kursisternes digitale kompetence
Tid
Forberedelse: 15 min
Implementering: 30 min
Underviserens progressionsniveau
Integrator – Ekspert
Målgruppe
Educators and adult learners Primary: educators, Secondary: learners
MINIMUM DIGITAL FÆRDIGHEDSNIVEAU FOR KURSISTER
Mellem
MINIMUM KURSISTENS SPROGNIVEAU
B1 – C1
🎓 Læringsmål
Educators and learners will be able to:
- Observe and become aware of inclusion, representation, and potential bias in AI-supported teaching materials.
- Reflect on how AI outputs can reinforce or challenge stereotypes and inclusion.
- Make informed professional choices about adapting, contextualising, or rejecting AI-generated materials before classroom use.
- Apply inclusive prompting strategies to generate more representative AI content.
Ingredienser
| Ressource | Mængde | Formål |
|---|---|---|
| AI image generation tool (e.g. DALL-E, Canva AI) | 1 pr. underviser | To generate images for bias analysis |
| ChatGPT or similar LLM | 1 pr. underviser | To generate text for bias analysis |
| Bias observation worksheet | 1 pr. underviser | Structured reflection tool |
| Enhed med internetadgang | 1 pr. underviser | For at få adgang til AI-værktøjer |
🔧 Redskaber
- Computer eller tablet med internetadgang
- Access to an AI image generator and a text-based AI tool
- Printed or digital bias observation worksheet
🥣 Forberedelse – før gennemførslen
- Select 3-5 example prompts that are likely to reveal bias in AI outputs (e.g. “a doctor”, “a teacher”, “a refugee”).
- Generate sample AI images and text outputs using these prompts before the session.
- Prepare the bias observation worksheet with guided questions.
- Prepare a set of “inclusive prompting” strategies to share with participants.
🔥 Trin i klassen/online
- Introduction (5 min): Explain that AI tools learn from existing data, which may contain historical biases.
- Observation activity (15 min): Generate AI images or text using the prepared prompts. Participants complete the bias observation worksheet.
- Discussion (10 min): What patterns did you notice? Who is represented? Who is missing? What assumptions does the AI make?
- Inclusive prompting (10 min): Introduce strategies for more inclusive prompts (e.g. specifying diversity, avoiding stereotyped roles).
- Practice (10 min): Participants rewrite one prompt using inclusive strategies and compare the outputs.
- Reflection (5 min): How will you apply this awareness in your teaching practice?
🧂 Differentiering og inklusion
- For less experienced educators: Focus on image generation bias as it is more immediately visible.
- For advanced participants: Explore intersectional bias and how multiple identity factors interact in AI outputs.
- For learner-facing activities: Adapt the observation worksheet to use simpler language
🥄 Vurdering og feedback
| Kriterier | Fremragende | God | Behøver arbejde |
| Bias identification | Accurately identifies multiple forms of bias in AI outputs | Identifies some bias with support | Struggles to identify bias in AI-generated content |
| Inclusive prompting | Rewrites prompts effectively to produce more inclusive outputs | Makes some improvements to prompts | Prompts show limited awareness of inclusive strategies |
| Critical reflection | Demonstrates deep critical awareness of AI limitations and ethical implications | Shows some critical awareness | Limited reflection on bias and inclusion |
⚠️ Etik, privatliv og beskyttelse
- Acknowledge that AI bias is a systemic issue, not a personal failing of individual users.
- Avoid generating or sharing AI content that could be harmful or offensive to learners.
- Be transparent with learners about the limitations of AI tools.
- Encourage ongoing critical evaluation of AI-generated materials before classroom use.
- Follow institutional policies on AI use in education.
🍱 Udvidelser/opfølgninger
- Develop a classroom “AI Bias Checklist” for reviewing AI-generated materials.
- Explore how bias manifests differently across text, image, and audio AI tools.
- Connect to broader media literacy: how does bias appear in traditional media vs AI?
🔗 Brug AI på tværs af fag
📚 Referencer og ressourcer
- AI Fairness 360: https://aif360.mybluemix.net
- UNESCO AI Ethics Recommendation: https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
- DigCompEdu Framework: https://joint-research-centre.ec.europa.eu/digcompedu_en