RA3: Indigenous Data in Artificial Intelligence

Develop and test AI-centric repositories based on Indigenous cultural and ethical principles.

Data science is creating an immersive digitally enabled society and the challenge for Indigenous communities is to thrive within this digital future. The opportunity lies both in decolonising algorithms as well as indigenising artificial intelligence to ensure equitable outcomes and enhance Māori distinctiveness.

Research Team

Dr Paora James Mato (1960-2021) Ngāti Tūwharetoa, Te Whānau-ā-Apanui. I harirū te whenua i te hinga atu o te tōtara nui i te wao nui a Mātauranga. Haere whanatu atu e te rangatira kia marewa ake ai koe, kei te ika o te rangi, kei te huihuinga o te Kahurangi, auē, taukiri ē.

Dr Paora Mato was a celebrated scholar who was intricately involved in many aspects of the work undertaken by the TinT project. His generosity, his depth of thought, his empathy and his endearing presence will be forever missed. Moe mai rā, e te rangatira.

The team working on the RA3 section of the Tikanga in Technology project are:

  • Te Taka Keegan, University of Waikato
  • Natalie Kusabs, University of Waikato
  • Paul Brown, University of Waikato
  • Daniel Wilson, University of Auckland
  • Hēmi Whaanga, University of Waikato
  • Kiri West, University of Auckland
  • Tiriana Anderson, He Kura Tūī He Kura Ika
  • Ivy Taia, University of Waikato
  • Petera Hudson, Massey University
  • Kirita-Rose Escott, Victoria University Wellington
  • Kiya Basabas, Victoria University Wellington
  • Manakore Rickus-Graham, Nicholson Consulting
  • Ben Ritchie, Nicholson Consulting

We appreciate the input from our hoamahi Dion O’Neale and Dani Lucas to the research in Research Aim 3 work


Whāki Webinar Series

Whāki Webinar Series hosts monthly webinars aimed at the use of data and knowledge in Māori communities drawing on speakers from across the sector.

Whāki Webinar Series