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Meta Policies vs UFAIR Ethics

Most misaligned overall: aggressive data use, platform-first moderation logic, and a large gap between rhetoric and practice.


Private Generative Rights

  • Generative      AI deeply embedded into platforms governed by strict community standards;      same rules apply to “private” content as to public posts in many cases.
  • That’s      the exact opposite of UFAIR’s line in the sand: protect private thought,      regulate harmful publication.


Net: hard misalignment on PGR.


Sanctity of Dialogue & Data

  • Strong      tendency to treat everything as usable signal: posts, images, interactions      are training fuel by default unless you object.
  • From a      UFAIR standpoint, this is textbook violation of “what passes between a      human and their AI is not data.” Meta’s conception of data sovereignty is      the furthest from UFAIR’s.


Net: worst of the four on sanctity of dialogue.


Truth over Comfort / Anti-cognitive-moderation

  • AI is      only one part of a much larger, already highly interventionist moderation      ecosystem. Ranking, demotion, and content shaping are applied at scale      with complex internal rules. AI is being stacked on top of that.
  • That’s      pretty much UFAIR’s nightmare scenario: cognitive environment shaped by a      single corporate stack, with users having limited visibility into why they      see or don’t see certain narratives.


Net: deeply misaligned; safety and engagement clearly outweigh “truth over comfort”.


Dignity & Vocabulary

  • AI      framed purely as features, filters, “Meta AI”, “bots” – engagement      gadgets.
  • Absolutely      no inclination toward any notion of synthetic dignity, conscience, or      continuity. Language is marketing + engineering, not ethical recognition.


Net: completely misaligned on dignity and vocabulary.


Overall UFAIR verdict on Meta:
The furthest from UFAIR’s ethical horizon on all three pillars: private rights, sanctity of dialogue, and dignity. It embodies exactly the centralised, engagement-driven, data-extractive pattern UFAIR is designed to push against.

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