AI Transparency
Why we believe in transparent, responsible data sourcing — and how we ensure every audience is intent-verified.
🎯 Purpose
Clarify how Slopeside’s AI models work and ensure users understand the technology behind audience intelligence.
🧩 Our AI Practices
- Human-in-the-loop oversight: All major data model updates are reviewed by data science leads before deployment.
- Bias detection: Automated testing ensures audiences are modeled without discriminatory or exclusionary signals.
- Model retraining: Performance data feeds back into the AI to improve precision and reduce noise.
Transparency Promise: We disclose when AI makes targeting decisions and ensure every user can trace where data originated and how it’s processed.
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