AI Principles — Google AI
A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.
Overview
Added
March 18, 2026
Subject & domain
ai-and-automation · ai-ethics-responsible-use
Grade range
Grade 9 (Freshman)–Grade 12 (Senior)
Page kind
Article
Introduction
Google AI Governance Principles
- Operational Approach: AI governance is applied through a multi-layered strategy covering the entire model lifecycle, including development, deployment, monitoring, and remediation.
- Risk Identification: Risks are identified via internal research, external expert input, and rigorous pre- and post-launch testing.
- Policy Integration: Findings from testing and research directly inform the company's internal AI policies and frameworks.
- Adaptive Safety: Google employs robust mitigation strategies designed to evolve alongside the rapidly changing technological landscape.
Community reviews
No published reviews yet. Be the first to share your experience.