Articles on AI governance
Displaying all articles
These priorities are mostly old policy initiatives that have until now been de-prioritised for months or even years.
Research on generative AI use among youth pinpoints design features that pose age-specific risks, which must be addressed before we adopt genAI into our schools and homes.
Instead of following European models, countries should take a more considered and contextualised approach to address AI risks.
The public sector is being encouraged to embrace AI. But can the largely voluntary governance framework we’re building to manage the technology be trusted to work?
Big tech is investing heavily in AI infrastructure. For countries like New Zealand, there are clear gains – but also important trade-offs.
The incident is being treated as an embarrassment. It’s something more serious: a failure of the very standards the revised policy must uphold.
Some symbolic authority might help to set useful boundaries.
What Canada’s response to AI protocols in the wake of the Tumbler Ridge tragedy gets wrong, and what durable governance actually requires.
Research finds concerning numbers of workers are using public AI tools in inappropriate ways, undermining work quality and increasing risks.
Our collective success with AI will depend not on so much on the virtues of the technology itself, but on the human systems we build around it.
Despite reassuring messages from the tech sector, concerns are growing about the negative impact of the rapid adoption of AI on society









