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Ask Me Anything-Dr Karaitiana on AI & Data Sovereignty

Toiere members gathered for a powerful AMA Session with Dr. Karaitiana Taiuru, focusing on the growing impact of AI and data sovereignty. Here’s what we learned.

Key Takeaways

  • AI training is scarce in Aotearoa. Free resources from Google, Microsoft, AWS etc provide accessible starting points.
  • AI present both risk and opportunity, especially in employment. While some jobs may be displaced, others will be created – particularly in programming, robotics and governance.
  • Māori intellectual property is at risk. AI systems consume massive amounts of data, making tikanga, mātauranga and reo vulnerable to misuse.
  • Now is the time to develop AI policies – especially around data security, responsible use, and long-term sovereignty goals
  • Strong opportunity to indigenise – training with a Te Ao Māori lens.
  • Importance of certifications – for job market competitiveness.

AI & Employment impact

  • Up to 85 million jobs could be displaced by 2027 (WEF) also projected to create 97 million new roles.
  • Manufacturing and labour-intensive sectors most at risk.
  • Retraining now is essential, opportunities in programming e.g. Python, robotics, and systems thinking are key.
  • Whānau, hapū, and iwi leaders are urged to prep their communities for workforce transitions.

Te Reo Māori and AI

  • AI’s improving accuracy in te reo Māori translations and understanding.
  • Concerns about AI’s access to and use of traditional knowledge.
  • Potential for AI to develop a distinct “dialect” in te reo Māori.
  • Opportunity to use AI for language preservation while being cautious about sharing sensitive cultural information.
  • Potential for AI to develop a distinct

Data Sovereignty

  • Once uploaded data is hard to control – especially with offshore platforms.
  • Copyright law is not yet fit for purpose in the AI era.
  • Māori businesses must protect IP, client data, and taonga tuku iho.
  • NZ could explore creating sovereign AI infrastructure ($35 million estimated cost)

AI in Business

  • Start with subscription-based AI tools for better data handling.
  • Avoid sharing sensitive data with free or public AI tools.
  • Human oversight is critical to avoid errors or AI “hallucinations”
  • Focus on practical AI uses, time-saving content creation, automation.

Next steps for Māori Business

  • Explore online tools and AI training at kete.ai
  • Begin creating your business AI policy and data protection framework.
  • Engage legal advice around data sharing and IP protection.
  • Stay connected to national conversations around sovereign Māori AI.
  • Support community learning through future workshops and sandboxes.
  • Advocate for government agencies to improve data governance policies

 

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