Governance Responsible AI
Responsible AI
Ethics & Values
With great power comes great responsibility. We pursue not only technical excellence but also ethical standards, ensuring every line of code respects human values.
Core Principles
Our commitment to responsible AI
Fairness
Ensure AI models perform consistently across different groups, avoiding bias and discrimination.
Explainability
Model decision processes must be understandable and traceable, not black boxes.
Privacy
Strictly protect personal privacy and sensitive data during training and inference.
Social Responsibility
AI development should promote human well-being and avoid negative societal impacts.
Ethics Checklist
- Has data bias testing been conducted?
- Is the model decision logic explainable?
- Is only necessary minimized data collected?
- Are there protective measures for vulnerable groups?
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