Ethical Guidelines for Data Use

People should receive understandable information about what data is collected, why it is needed, who may use it, foreseeable risks, and how to ask questions or withdraw where withdrawal is possible.

Refusal to contribute data should not reduce access to appropriate care.

Data collection and model evaluation should reflect the communities IntelliBra intends to serve. Performance should be assessed across relevant demographic and clinical groups, with limitations communicated plainly.

Only data necessary for a defined clinical, operational, or research purpose should be used. More intrusive processing requires stronger justification, safeguards, and oversight.

AI output should support—not replace—qualified clinical judgment. Responsibilities for review, escalation, correction, and adverse-event reporting should be explicit and auditable.

Secondary use should be compatible with consent, protocol, law, community expectations, and ethics approval. De-identification alone does not remove the need to consider harm, fairness, benefit sharing, and re-identification risk.