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

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

  • Te Taka Keegan, University of Waikato
  • Paul Brown, University of Waikato
  • Daniel Wilson, University of Auckland
  • Dion O'Neale, University of Auckland
  • Hēmi Whaanga, University of Waikato
  • Kiri West, University of Auckland
  • Tiriana Anderson,  He  Kura Tūī He Kura Ika
  • Ben Ritchie, Nicholson Consulting


  • Kylie Reiri keynote presentation on Analytics, for the good of communities. Te
    Rourou Symposium, Innovations in Applied Data, 3 June 2021
  • West, K., Wilson, D., Thompson A., & Hudson, M. (2020). Māori Perspectives on
    Trust and Automated Decision-Making. Report for the Digital Council.

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.

Visit the Whāki Webinar Series page here.