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AI Ethics & Safety

GridBase commitment to algorithmic transparency, bias mitigation, and safety-first AI.

Effective Date: February 1, 2026
Reference ID: GB-POL-ETH-00 // V0.9.0

1. Safety-First Principle

GridBase adheres to a “Safety-by-Design” philosophy. We prioritize the mitigation of risks in Large Language Models (LLMs) before scalability.

2. Core Pillars

  • Hallucination Mitigation: We implement adversarial testing to identify and reduce non-deterministic errors.
  • Bias Transparency: We audit pipelines for systemic biases that lead to discriminatory decisions.
  • Human Oversight: We advocate for human-in-the-loop (HITL) processes in high-stakes AI decision-making.

3. Regulatory Alignment

Our ethical framework aligns with current industry best practices and emerging standards (NIST AI RMF / EU AI Act).


GridBase is an independent technical entity. All rights reserved.