Responsible AI Learning Space at LMU

At LMU Munich, the responsible AI learning space is being used in a study with 300 students in collaboration with the Social Data Science and AI Lab. The project brings the AI CO₂ Tracker into academic practice and asks whether real-time emissions feedback changes how students work with generative AI.

Sustainability is not introduced as a distant principle. It appears inside the interaction itself. As students prompt, revise, repeat, and compare outputs, estimated CO₂ values make the material side of AI visible: tokens processed, energy used, emissions produced.

The study begins from a simple question: does visibility change behavior? When students can see the environmental footprint of their AI use, do they write differently, avoid unnecessary repetition, or develop a more careful relation to the technology?

For aihorizon R&D, the LMU integration shows how the responsible AI learning space can become a site of empirical inquiry. It connects learning, measurement, and reflection, turning sustainability from something discussed around AI into something encountered while using it.