Ethics
Fairness, bias mitigation, and ethical development practices in Skytells AI.
Ethics in AI at Skytells
Skytells is committed to responsible and ethical AI development. Our approach aligns with public research and best practices on fairness, bias, transparency, and accountability — and we share resources to help the community build responsibly.
Our Ethical Priorities
| Priority | Description |
|---|---|
| Fairness | We work to reduce unfair bias in model behavior and to avoid discrimination in outputs or access. See Fairness in AI in our resources. |
| Bias awareness | We acknowledge and address bias in data and models — from representation to behavior. See Bias in AI. |
| Ethics in design | Ethical considerations are part of product and model design, not an afterthought. See Ethics in AI. |
| Training best practices | We follow and document practices for responsible data and model training. See Training Best Practices. |
These priorities inform how we build, evaluate, and deploy models — and how we support you in using them responsibly.
Resources for Developers
We provide educational materials and guidance on ethical AI:
- Skytells Resources — Central hub for AI ethics & responsibility, security & privacy, and developer tools.
- AI Ethics & Responsibility — Topics include Understanding Tokens in LLMs, Training Best Practices, Fairness in AI, Ethics in AI, and Bias in AI.
We encourage developers and organizations to use these resources when designing systems that rely on Skytells models.
Accountability and Feedback
We take feedback about harmful outputs, bias, or misuse seriously. If you encounter content or behavior that you believe violates our ethics or safety commitments:
- Report it through Skytells support.
- For research collaboration or contributions to our resources, see Contact Research Team.
Skytells is committed to open research and collaboration. If you want to contribute to our resources or suggest improvements, we welcome outreach to our research team.
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