The debate over whether and how human oversight should be maintained when AI and automated systems are used to make or inform consequential decisions, including government benefit determinations and other public-sector processes.
How the framings classify across 7 articles. Each framing is labelled by a small AI stance classifier; see the methodology page for details.
Up to 12 framings across outlets and orientations — each a short phrase the extractor generated to characterise the piece's editorial angle (not a quote). Filter by lean to see how each bloc is spinning the story; click through to read the original.
lack of mandatory rules and independent review
Before we let AI run the public service, we need to know the full impactgaps in national policy on ethical ai use
Which jobs are most at risk from the irresistible rise of artificial intelligence?Stacked weekly counts; colour by lean. “n/a” covers government and iwi-Māori sources where lean isn't applicable.
How this topic has been named, week by week. A new alias winning out is usually a framing shift.
How the news corpus has covered this same topic over the last 12 weeks. 15 articles from RNZ, Stuff, NZ Herald, ODT, 1News, Newsroom and The Spinoff. Click through to the press view for the full panel.
Social-media signal on the same topic, drawn from the social lens. Engagement is likes + 2×shares + 3×replies, the same weighting used across the digest cards. View on /social →
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