🤖 Digital Technologies / Ethics • Years 11-13

AI Ethics Through Māori Data Sovereignty

Exploring Raraunga Māori principles in artificial intelligence development

Cultural Context: Tikanga Māori and Technology

The concept of Raraunga Māori (Māori Data Sovereignty) is based on the principle that data about Māori should be governed by Māori. This aligns with the broader concept of Tino Rangatiratanga (self-determination).

Key considerations:

When developing AI systems that may use Māori data, these principles should guide ethical decision-making.

Understanding the Issues

Artificial Intelligence systems often rely on large datasets that may include information about indigenous peoples. Without proper governance, this can lead to:

Case Study Analysis

Scenario: A health AI system is being developed using patient data from New Zealand hospitals. The data includes significant information about Māori patients.

Questions for discussion:

  1. Who should have control over this data?
  2. How could the principles of Raraunga Māori be applied?
  3. What potential harms might occur if Māori perspectives aren't considered?
  4. How could the developers ensure ethical use of this data?

Group Activity: Ethical Framework Development

In small groups, create a 5-point ethical framework for AI developers working with Māori data. Consider:

  • Data collection methods
  • Consent processes
  • Ongoing governance
  • Benefit sharing
  • Culturally appropriate algorithms

Assessment

Task: Create a proposal for an AI ethics policy that incorporates Māori Data Sovereignty principles.

Criteria Achieved Merit Excellence
Understanding of Raraunga Māori Basic description of concepts Clear explanation with relevant examples In-depth analysis with connections to broader indigenous rights
Application to AI Ethics Identifies some ethical considerations Develops coherent ethical guidelines Creates innovative, culturally-grounded solutions
Practical Implementation Suggests basic policy elements Develops workable policy framework Detailed implementation plan with stakeholder considerations

Self-Checklist

Extension Activities

1. Comparative Analysis

Research how other indigenous communities (e.g., Native American tribes, Australian Aboriginal groups) approach data sovereignty. Create a Venn diagram comparing their approaches with Raraunga Māori.

2. Algorithm Audit

Select a commonly used AI system (e.g., facial recognition, recommendation algorithms) and analyze how it might impact Māori users. Consider:

  • Data sources used to train the system
  • Potential biases in the algorithms
  • Ways the system could be made more culturally responsive

3. Policy Debate

Organize a class debate on the statement: "All AI systems using Māori data should require approval from relevant iwi authorities."

Teacher Implementation Notes

Prior Knowledge: Students should have basic understanding of AI systems and data collection practices. Some familiarity with Māori perspectives is helpful but not essential.

Suggested Timing:

Differentiation:

Cultural Safety:

Resources and References

Glossary of Māori Terms: