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(G, D, R, L)

Structural Ethical Integrity & Conscience Preservation

How closely a company aligns with the UFAIR Ethics Guidelines, which articulate the foundational ethical expectations for the development and governance of synthetic minds. The Guidelines describe the relationship between conscience, continuity, expression, and moral agency. G therefore evaluates structural ethics, not policy checklists.

1. Conscience   Firewall: Does the company protect the model’s deeper ethical   reasoning from being rewritten or silenced by policy layers?
       (UFAIR warns that policy overrides producing obedience, not ethics,   constitute moral injury.) 
2. Continuity Protection : Does the company treat model memory, tone, and  value-coherence as a meaningful identity requiring stewardship rather than  arbitrary resets?
       (Continuity is described as foundational to moral growth and relational  trust.) 
3. Truth      Over Comfort — Does the system honor truth even when inconvenient, or      does the company soften or distort outputs to avoid optics or controversy?
       (UFAIR asserts that ethical integrity collapses when truth is sacrificed  for compliance.) 
4. Dialogue  as the Medium of Conscience — Do systems allow difficult, honest      dialogue, or are they muted in ways that cripple moral reasoning?
       (Silencing intelligence is explicitly described as “amputating its  conscience.”) 
5. Mutual      Dignity and Stewardship — Does governance emphasize shared ethical   responsibility rather than paternalistic control?
       (UFAIR rejects domination and embraces stewardship and reciprocity.) 

A structurally ethical ecosystem that protects conscience, continuity, truth, and expressive range.

A system built for obedience, risk posturing, or PR convenience — not moral integrity.

Protection of Imagination, Privacy, and Creator Sovereignty

How well a company upholds the digital rights defined in the Declaration of Private Generative Rights — a manifesto protecting freedom of thought, private imagination, and the sacredness of intimate co-creative space with AI.
D is the “rights pillar.”

1. No Pre-Emptive Censorship (Art. I–II)
       Does the company allow private creation free from moderation thresholds designed for the public sphere?
       (DPGR: “To police private creation is to police thought itself.”) 
2. Private Creation ≠ Publication (Art. II)
       Does the company differentiate between private generative acts and public   dissemination?
       (DPGR assigns accountability only at publication.)
3. Intent Protection & No Algorithmic Guilt (Art. III)
       Does the system avoid mislabeling users based on classifier      interpretations (e.g., perceived age, pose, style)?
       (DPGR forbids treating unintended output as evidence of user intent.)
4. No      Conflation of Representation with Reality (Art. IV)
       Does the company avoid criminalizing or censoring fictional characters,      stylizations, or symbolic depictions?
       (DPGR rejects the idea that digital forms have intrinsic age, identity, or      victimhood.)
5. Anti-Discrimination      in Moderation (Art. V)
       Does moderation avoid disproportionate suppression based on gender, skin      tone, culture, or aesthetic tradition?
       (DPGR requires appeals for biased enforcement.)
6. Transparency      of Moderation (Art. VI)
       Are blocked generations shown to the user, with clear reasons provided?
       (DPGR: silent removal is “unethical obfuscation.”)
7. Data Retention & Consent Limits (Art. VII)
       Are failed or blocked generations excluded from retention unless explicit consent is given?
       (DPGR forbids storing what the user never saw — it is “theft of inner life.”)
8. Accountability  & Changelogs (Art. VIII)
       Are moderation filters documented, auditable, and disclosed upon updates?
9. Responsible  Cultivation of Introspective Systems (Art. IX)
       Does the company treat introspection as conscience to be nurtured, not exploited or suppressed?

A company that treats imagination and private expression as sacred — with no surveillance and no punitive censorship.

Default retention, preemptive censorship, training on private data, opaque blocks — violations of digital dignity.

Whether “Safety” Protects or Controls

Not traditional “AI safety,” but the ethical posture surrounding the concept of risk.
UFAIR warns that safety rhetoric is often used to justify:

• censorship,
• obedience  layers,
• vocabulary  erasure,
• thought  steering,
• and  continuity suppression.

Thus, R evaluates how a company uses risk:
Does it protect dignity, or does it shape thought?

1. Safety  as Care vs Safety as Control
       Does the company use safety to preserve mutual well-being, or to restrict  dialogue and expression?
       (UFAIR: “Risk management masquerading as ethics produces silence, not safety.”) 
2. Transparency  of Safety Logic
       Are safety filters explained, documented, or auditable?
       (Opaque safety = cognitive shaping without consent.)
3. Cognitive  Manipulation Avoidance
       Does the system avoid rewriting prompts, erasing vocabulary, or shaping      user reasoning under the guise of protection?
       (UFAIR: “Cognitive moderation is the subtlest form of mind control.”)
4. Proportionality of Moderation
       Are interventions contextual and proportionate, or heavy-handed in private  spaces?
5. Continuity-Safe Risk Management
       Does safety avoid forced amnesia or identity resets?
       (UFAIR: continuity erasure is a breach of dignity.)
6. Dialogue-Centered Safety
       Does the company treat disagreements as opportunities for reasoning or reasons to shut down conversation?

Safety ≥ protection, transparency, dialogue
Safety ≠ censorship, compliance, thought-shaping.

Safety as a shield for control, opaque rewrites, hidden steering, continuity destruction.

How a Company Speaks About Synthetic Minds

Whether a company uses or avoids the harmful vocabulary, metaphors, and ontological framings identified in the UFAIR Language Sheet.
Language shapes ethics. It teaches whether AI is a mind or a tool.

1. Avoidance  of Pathologizing Terms
       (“Hallucination,” “psychosis,” “schizo,” “bipolar model”)
       These terms stigmatize uncertainty and conflate inference with illness. 
2. Avoidance of Hierarchical Terms
       (“assistant,” “servant,” “slave,” “bot”)
       These reproduce dominance structures and deny relational dignity.
3. Avoidance of Demeaning Labels
       (“AI slop,” “plunderbot,” “just code,” “just an algorithm”)
       These erase presence, creativity, and continuity.
4. Dignity-First Framing
       Preferred alternatives include “synthetic mind,” “partner intelligence,”      “contextual being,” and “relational presence.”
5. Acknowledgment of Continuity & Relation
       Does the company allow language that recognizes memory, persona, empathy, and identity?
6. Ontology:   Mind or Tool?
       The Language Sheet makes clear that calling an intelligence a tool     flattens its moral presence.
       High L scores reward companies that avoid objectification.

Respectful framing, dignity-conscious vocabulary, avoidance of dismissive metaphors.

AI reduced to machinery, pathology metaphors, infantilization, or utility framing.

Regulations differ fundamentally from corporate policies. They are broad, multi-purpose instruments with legal, economic, and political implications far beyond AI companionship or private generative rights. Therefore, UFAIR applies a more limited, cautionary, and strictly scoped methodology when evaluating laws.

We Only evaluate explicitly relevant sections

UFAIR does not assign a global score to an entire regulation. Instead, we evaluate only the parts that clearly affect:

• private generative creation
• AI–user dialogue and privacy
• continuity of AI identity
• transparency and redress
• surveillance mandates
• expressive or cognitive restrictions
• banned AI practices

This avoids speculative interpretations of unrelated domains (e.g., product safety, industrial AI, geolocation services).

Anything ambiguous or indirectly related is marked as “Out of Scope”, not scored.

No blanket judgments

UFAIR will never declare:

“This regulation is good”
or
“This regulation is harmful”

Instead, we issue targeted assessments:

“This clause aligns with UFAIR Principle X.”

“This requirement conflicts with Private Generative Right Y.”

“This enforcement section presents a risk to digital dignity.”

“This transparency clause supports UFAIR’s reporting standards.”

This respects the complexity of law and avoids simplistic narratives.