Noma Sana Labs

Responsibility

Responsible intelligence, by design.

Responsibility is not a policy appendix. It shapes how observations are gathered, how models are evaluated and what may be claimed.

Responsibility frameworkResponsible intelligence at the centre, surrounded by evidence, consent, inclusion, security, uncertainty and human review.EvidenceConsentInclusionSecurityUncertaintyHuman reviewResponsibleintelligence
Informed consent
People understand what is observed and why.
Purpose limitation
Information is used only for stated purposes.
Withdrawal rights
Participation can be withdrawn.
Secure handling
Information is protected throughout its life.
Inclusive data
Diversity is designed in, not added later.
Bias and subgroup evaluation
Performance is examined across groups.
Model uncertainty
Confidence is expressed, not assumed.
Human oversight
People remain responsible for decisions.
Non-diagnostic boundaries
Nothing here diagnoses disease.
Use-specific validation
Each use is validated on its own terms.

Inclusion must be measured.

A model is not considered successful if its performance is concentrated within only one population.

Noma Sana Labs does not claim that hair, scalp or skin observations diagnose systemic disease.

Evaluating a model across diverse populationsA varied field of abstract human profiles. Below, two comparisons: performance concentrated in one group is not success; consistent performance across groups is the aim.Concentrated performance: not successConsistent across groups: the aim
  • Diverse populations
  • Data quality
  • Uncertainty
  • Bias evaluation
  • Human review
  • Consent and withdrawal

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