Effective Date: February 1, 2026
1. Safety-First Principle
GridBase adheres to a “Safety-by-Design” philosophy, prioritizing the mitigation of risks in Large Language Models (LLMs) before deployment.
2. Core Pillars
- Hallucination Mitigation: GridBase applies adversarial testing to identify and reduce non-deterministic errors.
- Bias Transparency: GridBase assesses pipelines for systemic biases that lead to discriminatory decisions.
- Human Oversight: GridBase advocates for human-in-the-loop (HITL) processes in high-stakes AI decision-making.
3. Regulatory Alignment
The GridBase ethical framework aligns with current industry best practices and emerging standards (NIST AI RMF, EU AI Act, ISO 42001).
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