With the explosion of generative AI, rapid innovation in educational technology can lead to extraordinary advances for teaching and learning—as well AI tools that are ineffective or even harmful to learning. AI should be used responsibly, yet defining responsible AI principles in an educational technology context and how to put those principles into practice is an evolving challenge. Broad AI principles such as transparency, accountability, and human oversight should be paired with education-specific values. In this paper, we discuss the development of AI principles and how to put those principles in practice using learning engineering as a framework, providing examples of the application of responsible AI principles in the context of developing AI-generated questions and feedback. Frameworks to support the rapid development of innovative technology—and the responsible use of AI—are necessary to ground learning tools’ efficacy and ensure their benefit for learners.