Responsible advisory
Responsible AI and methodology
Mitti-AI treats AI-generated agricultural guidance as decision support. The system should explain what data it used, avoid unsupported certainty and direct users to qualified local help when the consequences of an error are significant.
Five operating principles
Useful guidance should make uncertainty easier to see
- 01
Show the source
Keep measured values separate from generated interpretation.
- 02
Say what is missing
Uncertainty and data gaps belong in plain language.
- 03
Keep farmer control
AI supports a decision; it does not own the decision.
- 04
Escalate wisely
High-cost, ambiguous or safety-critical actions need qualified review.
- 05
Date material changes
Models, capabilities and evidence status can change.
Fluent wording is not proof. A field-specific answer still needs suitable inputs, evidence and an appropriate person to check high-impact action.
Advisory principles
- Do not give universal fertilizer doses without crop, area, growth stage, soil context and suitable reference guidance.
- Separate measured values from model-generated interpretation.
- State uncertainty and known data gaps in plain language.
- Prefer cited agronomic sources and versioned rules over unsupported model recall.
- Escalate safety-critical, high-cost or ambiguous decisions to qualified local experts.
Farmer data
Soil readings and farm context can be sensitive. Collection should be proportionate to the feature, explained in the privacy policy and protected with appropriate access controls, retention rules and deletion processes.
Product changes
Capabilities, models and validation status can change. Material updates should be dated, and claims should distinguish current production behavior from prototypes or planned features.