AI Principles — Google AI

A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.

En bref

Ajouté le

18 mars 2026

Matière et domaine

ai-and-automation · ai-ethics-responsible-use

Niveaux scolaires

9e année (3e)–12e année (Terminale)

Type de page

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.

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