Could NZ’s next Christchurch Call be a push for fairer, safer AI?
Summary
New Zealanders are rapidly adopting AI tools, with nearly eight in ten using them annually and over half weekly, according to the 2026 InternetNZ Internet Insights report. This increased usage is accompanied by growing unease, as half of respondents express extreme or very high concern about AI's implications for misinformation, privacy, and misuse. National surveys reveal only a quarter believe current safeguards are sufficient, and two-thirds would cease using a company's products if concerned about its AI practices. Major AI companies are increasingly involved in deepfakes, misinformation, geopolitics, and military applications, exemplified by the US Department of War pressuring firms like Anthropic and OpenAI for military use, and China leveraging its own AI systems. This widespread distrust presents an opportunity for New Zealand to establish a brand grounded in responsible AI.
Key takeaway
For AI Product Managers developing solutions for the New Zealand market, your strategy must prioritize responsible AI principles to build and maintain user trust. Given that two-thirds of surveyed Kiwis would stop using products from companies with AI concerns, integrating robust safeguards like mandatory human oversight and bias auditing is crucial. This approach not only aligns with public expectations but also offers a competitive differentiator in a market increasingly valuing ethical AI practices.
Key insights
Rising AI adoption in New Zealand correlates with significant public concern over its societal impacts and military applications.
Principles
- Public trust in AI is critical for sustained adoption.
- AI systems often reflect creator biases and values.
- Small nations can influence global tech standards.
Method
New Zealand can lead in responsible AI by leveraging its global reputation for integrity, human rights, and independent thinking, advocating for fairness, accountability, safety, and privacy through international collaboration and local standards.
In practice
- Implement watermarking for AI-generated content.
- Mandate human oversight for AI governance.
- Audit AI for bias and environmental impact.
Topics
- Responsible AI
- AI Regulation
- Christchurch Call
- Military AI
- Digital Colonialism
Best for: CTO, AI Product Manager, Product Manager, Policy Maker, AI Ethicist, General Interest
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence (AI) – The Conversation.