Responsible AI
DreamMatch AI is built on principles of fairness, accountability, and transparency. We believe AI should empower workers, not exploit them.
Last updated: December 27, 2025
Fairness & Non-Discrimination
We actively work to eliminate bias in our AI systems. Our models are trained on diverse datasets and regularly audited for fairness across race, gender, age, and other protected characteristics.
Human-Centered Design
AI should augment human capability, not replace human judgment. We design our tools to support your decisions, not make them for you.
Transparency
We explain how our AI works, what data it uses, and why it makes certain recommendations. No black boxes.
Accountability
We take responsibility for our AI systems. If something goes wrong, we fix it. If bias is detected, we address it immediately.
Our Commitments
- Regular bias audits of our AI models
- Diverse training data and testing groups
- Clear explanations of AI recommendations
- User control over AI-generated content
- No selling of user data to train external models
- Continuous monitoring and improvement
What We Don't Do
- We don't use your data to train models for other companies
- We don't make hiring decisions for employers
- We don't discriminate based on protected characteristics
- We don't hide how our AI works
- We don't automate away human judgment
Report AI Issues
If you encounter bias, errors, or concerns with our AI systems, we want to know. Your feedback helps us improve.
Report an Issue