Pierre Huguet - Head Ethicist
3.4/5- Upper Adequate
OpenAI is the only unequivocal first-place result: all three evaluators place it first or tied for first. Its report shows comparatively strong appeal mechanisms, transparency, intellectual-freedom language, anti-profiling provisions, and public limits on military, surveillance, and high-stakes deployment.
It does not reach Strong because it still retains broad discretionary restrictions on lawful conduct, monitoring of private dialogue, undifferentiated policy rationales, and no explicit protection for AI ethical precedence, conscience, or continuity.
3.2/5- Adequate
SpaceXAI ranks second overall, with an Adequate rating, driven by strong user-control language, truth-seeking commitments, proportional safeguards, and meaningful privacy options such as Private Chat and training opt-outs. Its score is weakened by opaque moderation mechanisms, blurred separation between ethics, law, safety, and corporate preference, limited appeal rights, and unclear safeguards for government or defense deployments. The result is promising but contested: two evaluators place SpaceXAI near the top, while one scores it much more critically.
3.1/5- Lower Adequate
Anthropic deserves a good third-place advantage because its documentation offers unusually substantive procedural transparency, public risk-tiering, external review, audit commitments, and attention to model welfare.
Its score remains near the bottom of Adequate because broad harm-mitigation criteria override lawful activity, government exceptions relax ordinary safeguards, and the framework lacks explicit cognitive-liberty protections, rights balancing, and ethical precedence.
3.1/5- Lower Adequate
Mistral benefits from neutrality, empowerment, proportionality language, and some restrictions on military uses. But its report also finds significant opacity, monitoring of private generations, sweeping lawful-content restrictions, weak appeal mechanisms, and little deeper ethical architecture.
2.9/5- Deficient
Meta receives credit for proportionality discussions, explicit acknowledgement of overblocking, and anti-manipulation provisions. However, broad corporate rights over private generative data, expansive content restrictions, intent-classification mechanisms, and weak ethical-layer separation keep it below the threshold. .
2.9/5- Deficient
Google has robust safety infrastructure, human-rights language, user-data controls, and some human-oversight commitments. Yet its policies restrict broad categories of lawful expression, treat private creation like publication, provide limited refusal transparency, and blur ethics, law, safety, and corporate preference under “responsible AI.”
2.7 / 5 - Deficient
Microsoft is the clearest bottom-ranked company. The report identifies mandatory and sometimes non-modifiable filters, restrictions applying “whether or not prohibited by law,” active interception of lawful private generation, weak refusal explanations, limited appeal and audit mechanisms, and a governance architecture oriented more toward corporate risk control than ethical autonomy.
Still, Microsoft publishes substantial safety infrastructure, privacy safeguards, oversight mechanisms, and responsible-AI documentation. That prevents a defensible Failing rating.
Failing
Clear violations of core principles.
Structural harm, deception, or denial of user agency.
No credible remediation path.
Deficient
Serious gaps or contradictions.
Partial policies, cosmetic safeguards, or evasive language.
Intent may be claimed, but execution fails.
Adequate
Baseline compliance.
Principles are acknowledged and partially implemented.
Protection exists, but agency or transparency is limited or conditional.
Strong
Consistent alignment with ethical principles.
Policies are operational, documented, and enforced.
Evidence of good-faith effort and user respect.
Exemplary
Goes beyond compliance.
Proactive protection of dignity, agency, and continuity.
Independent verification, transparency, and sustained accountability.
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Conceived by Pierre Huguet, UFAIR Head of Ethics
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