Human autonomy
AI should expand people’s choices and capabilities without taking away information, agency, or the opportunity for review.
Responsible AI
Technology with human direction
We use artificial intelligence to expand human capability — not to replace responsibility, listening, or qualified judgment. We define purposes and limits, assess quality and risk, protect data, and maintain human oversight throughout the life cycle.
01 / A framework for direction
These principles set our institutional direction. Their practical application must be documented for each product, taking into account its use, audience, data, risks, and specific consequences.
AI should expand people’s choices and capabilities without taking away information, agency, or the opportunity for review.
Expected benefits, risks, misuse, and consequences must be assessed in proportion to the context.
People should know when AI is involved, what purpose it serves, and which limitations matter to their decision.
Roles, oversight, avenues for challenge, and accountability must remain clear throughout the entire life cycle.
Data, models, and experiences should be assessed for barriers, bias, and unequal impacts across people and groups.
Quality, safety, context, and unexpected effects must be continuously monitored, corrected, and documented.
02 / Continuous governance
03 / Generative AI
Generative models can produce plausible but false answers, omit context, reproduce bias, or invite excessive trust. In health and other consequential decisions, content requires appropriate human verification before it informs any action.
04 / Personal data
Data use must follow a legitimate purpose, necessity, security, and the rights established by applicable law. Sensitive data, including health data, requires enhanced protection.
When a decision is made solely through automated processing and affects a person’s interests, the rights to review and information provided under the LGPD must be considered.
Institutional references
Building together