Authors versus AI and the risks to government public sector push
The New Zealand government is advocating for increased use of AI in the public sector amidst ongoing global copyright lawsuits. Experts warn that this push could face significant challenges, particularly regarding the legality of using copyrighted material to train AI models. There are calls for the development of a marketplace to ensure creators are recognized and compensated for their work.
- ▪The government is pushing for more AI in the public service during a pivotal time for copyright lawsuits.
- ▪Experts believe there is a risk that ongoing litigation could hinder the deployment of AI models.
- ▪Calls have been made for a marketplace to ensure fair compensation for creators whose works are used in AI training.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,376 of its stories.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | RNZ |
| Canonical URL | https://www.rnz.co.nz/news/political/596437/authors-versus-ai-and-the-risks-to-government-public-sector-push |
| Publication time | Tue, 26 May 2026 19:16:53 +0000 |
| Retrieval time | 2026-05-26T19:22:54.023Z |
| Last seen | 2026-05-26T19:22:54.023Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | X9tm_hKba4mW |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Copyright Licensing NZ chief executive Sam Irvine. Photo: Supplied The government is pushing for much more AI in the public service at a "pivotal" time for scores of lawsuits against AI globally. Experts foresee a threat to the government's plans. The free mining of copyrighted material has been used to train many AI large-language models. The latest to push back are five big US publishers and bestselling author of Presumed Innocent, Scott Turow, against Meta boss Mark Zuckerberg. In Germany recently, OpenAI lost in court, pinged over ChatGPT reproducing song lyrics. In some cases Big Tech has won rulings that it is "fair use" to train AI this way. Other cases remain undecided in what Reuters called a "pivotal year" for copyright battles.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at RNZ.