AI Transparency

CREEDA uses AI-assisted and rule-based systems to generate advisory outputs for performance, readiness, recovery, load, and behavior loops. Transparency version: 2026.04.03.

1. What The AI Layer Does

• Combines subjective inputs, objective tests, trend signals, and contextual factors.
• Generates advisory summaries, confidence labels, and risk/readiness guidance.
• Supports coaches and athletes with explainable decision-support, not autonomous diagnosis.

2. What It Does Not Do

• It does not provide clinical diagnosis.
• It does not prescribe treatment plans as medical instructions.
• It does not guarantee injury prevention or competition outcomes.

3. Explainability Commitments

• Key recommendations include confidence and data quality context.
• Signals are labeled where possible as measured, estimated, or self-reported.
• Decision context aims to show why recommendations changed.

4. Human Oversight

Final decisions remain with the athlete, coach, and qualified clinicians. In injury, illness, or emergency contexts, human clinical judgment must override app outputs.

5. Fairness and Reliability

CREEDA continuously improves model reliability and monitors performance across different user cohorts. Outputs may be less reliable when data quality is weak, stale, or incomplete.

6. Questions and Concerns

AI transparency and model-behavior inquiries can be sent to creedaperformance@gmail.com.

CREEDA is a decision-support platform. It does not provide medical diagnosis, treatment, or emergency triage.