Te Kete Ako

🎯 Learning Pathways

← Back to Handouts

🌐 Digital Sovereignty Multimedia Lab

AI Ethics, Data Rights & Cultural Protocols

🚀 Interactive Learning Environment

Technical Skills: AI literacy, prompt engineering, data analysis

Cultural Integration: Māori data sovereignty, cultural protocols

Critical Thinking: Bias detection, ethical reasoning, policy analysis

📺 Curated Video Learning Modules

🤖 AI Fundamentals

Beginner

How AI Actually Works

3Blue1Brown: "But what is a neural network?" - Mathematical foundation

Large Language Models Explained

Andrej Karpathy: "Intro to Large Language Models" - Technical deep dive

📚 Supplementary Resources:
  • MIT OpenCourseWare: "Introduction to Machine Learning" video lectures
  • Khan Academy: "Intro to Programming" series for coding foundations
  • TED-Ed: "How do computers learn?" animated explanations

⚖️ AI Ethics & Bias

Intermediate

AI Bias in Real Systems

Safiya Noble: "Algorithms of Oppression" - How search engines can discriminate

Facial Recognition & Race

MIT Joy Buolamwini: "Gender Shades" research on algorithmic bias

⚠️ Critical Analysis Framework:
  • Who created this AI system and what were their intentions?
  • What data was used to train it and who was included/excluded?
  • How might this system impact different communities?
  • What cultural values are embedded in the design choices?

🌿 Indigenous Data Sovereignty

Advanced

Māori Data Governance

Te Mana Raraunga: Māori Data Sovereignty Network

  • Video: "Data Sovereignty in Practice" (Search: Te Mana Raraunga YouTube)
  • Webinar: "CARE Principles for Indigenous Data" (Global Indigenous Data Alliance)
  • Case Study: "Māori Genomics and Data Ownership" discussions

Note: Some content may require registration with research institutions

Global Indigenous Perspectives

First Nations Technology Council: Digital governance and sovereignty

🛠️ Hands-On AI Exploration

Interactive

Try AI Tools Safely

🔧 Recommended Platforms:
  • ChatGPT (Free tier): Text generation and conversation
  • Google AI Test Kitchen: Experimental AI applications
  • MIT's Moral Machine: AI ethics scenarios
  • AI Fairness 360: IBM's bias detection toolkit (demo)

Safety Protocol: Never share personal information. Always think critically about AI responses. Discuss findings with kaiako.

Cultural Protocol Lab

🌿 Experiment Guidelines:
  • Cultural Sensitivity Test: How does AI respond to Te Reo Māori?
  • Bias Detection: Ask AI about different cultural practices
  • Knowledge Gaps: Test AI understanding of Indigenous concepts
  • Respectful Boundaries: What should AI NOT be asked about cultural matters?

🔬 Hands-On Investigation Projects

🕵️ AI Bias Detective

Mission: Test different AI systems for cultural bias and representation.

  1. Choose 3 different AI tools (text, image, or voice)
  2. Design tests for cultural awareness and bias
  3. Document results with screenshots/examples
  4. Analyze patterns in AI responses
  5. Propose improvements based on Māori values

📊 Data Sovereignty Audit

Mission: Investigate how your personal data is being used by tech companies.

  1. Download your data from 2 major platforms (Google, Facebook, etc.)
  2. Analyze what information they've collected
  3. Research these companies' AI training practices
  4. Apply CARE principles to evaluate their data governance
  5. Design a culturally-appropriate data policy

🏆 Advanced Challenge: Community AI Policy

Working in groups, develop AI governance guidelines for your school or local marae. Consider cultural protocols, data protection, and community benefit.

Policy Components:

  • Cultural consultation requirements
  • Data ownership and consent protocols
  • AI bias monitoring systems
  • Community benefit sharing
  • Elder and youth engagement processes

Presentation Format:

  • Policy document (2-3 pages)
  • Community presentation (10 minutes)
  • Visual infographic of key principles
  • Implementation timeline
  • Success metrics and evaluation