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How we’re approaching AI for learning
So, what is our approach? Our approach is guided by two principles. First, our work is grounded in learning science, because we understand that more technology, bigger models, is not going to be the solution in itself. Our AI models like Gemini are being developed specifically grounded in pedagogical principles. Principles like managing cognitive load, encouraging active learning, and stimulating curiosity. And this program, which we call LearnLM, is infused throughout our models.
The second principle is that the promise of AI can only be achieved by active partnership. Partnership with people like you to enable us to develop these technologies in a way that is most useful and resonant for people around the world.
And finally, we have to make sure that these AI tools are actually achieving the outcomes that we want them to achieve. We are committed to a research and evidence-based approach to learn, to iterate, and to be transparent about what’s working and what’s not.
As we look ahead, we know that the technology will continue to evolve really rapidly. The biggest challenges will come not just in how we learn, but also in what we have to learn for a future that’s being reshaped by AI. In the near term, we need to figure out how AI can be effectively adopted to enhance education. But in the longer term, we need to understand how AI can transform education to serve this changing world that’s being shaped by AI. That’s the goal of the conversation we’d like to have with all of you today.
Today is about dialogue. It’s an invitation to share foresight. To challenge assumptions, including ours. And to begin to chart this unpredictable terrain together, as scientists, as educators, as technologists, as students. We want to learn from each other today. Together, we can shape and steer this technology to be aligned with the highest human goals. For learning and education, the greatest potential of AI is helping everyone reach theirs.
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