Responsible AI Principles
Softnix is committed to developing and deploying AI responsibly, transparently, and fairly.
AI Governance Framework
1. AI Transparency
- Disclose which systems use AI for decision-making
- Explain AI model principles at an understandable level
- Clearly communicate AI limitations
2. Human-in-the-Loop
- AI does not make critical decisions on behalf of humans
- Review and override processes are in place
- Final decisions rest with the user
3. Data Privacy in AI
- Training data excludes personally identifiable information
- Customer data is not sent to third-party AI models without permission
- Data Residency support per organizational requirements
4. Prompt & Data Privacy
- User prompts are not used for model training
- Session Isolation — each session's data is separated
- Prompt/Response data deleted per Retention Policy
5. AI Risk Management
- AI Impact Assessment before deployment
- Continuous Monitoring for Bias & Drift
- AI-specific Incident Response Plan
- Regular Model Audit
6. Responsible AI Principles
| Principle | Description |
|---|---|
| Fairness | AI does not discriminate |
| Accountability | Clear ownership of responsibility |
| Transparency | Explainable and auditable |
| Safety | Safe for users and society |
| Privacy | Respects personal privacy |
Contact
For questions about Softnix AI Governance:
- Email: info@softnix.co.th