The New Classroom: How Google AI is Transforming Education

Google approaches AI development with a set of AI Principles designed to maximize the benefits of the technology while proactively mitigating risks. This commitment guides the creation of all Google AI tools, including those used in education.

In practice, this means AI is developed and tested to:

• Be Socially Beneficial: Focusing on uses that help solve major human challenges.
• Avoid Creating or Reinforcing Unfair Bias: Actively seeking to prevent unjust impacts on people.
• Be Built and Tested for Safety: Implementing rigorous testing and monitoring practices to prevent unintended harm.
• Be Accountable to People and Uphold Privacy: Designing systems with appropriate controls, feedback mechanisms, and strong privacy safeguards.

For users with Google Workspace for Education accounts, this commitment is reinforced by the promise that data stored in core services (like Docs, Drive, and Classroom) is never used to train Google’s general AI models.

🔗 For Deeper Understanding

To explore the detailed framework, commitments, and applications that guide the development of Google’s AI technology, you can refer to the official document:

Google AI Principles https://ai.google/principles/