AI Principles — Google AI
A guiding framework for our responsible development and use of AI, alongside transparency and accountability in our AI development process.
Overzicht
Toegevoegd op
18 maart 2026
Vak & domein
ai-and-automation · ai-ethics-responsible-use
Schooljaar
Klas 1 (brugklas)–Klas 4
Paginatype
Article
Inleiding
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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