As we approach the Summer Semester 2026, we are promoting the course “Towards Sustainable Futures with AI”, which critically examines Artificial Intelligence as a transformative and generative technology with far-reaching societal, economic, and ecological impacts.

Throughout the lecture series, students become familiar with key concepts and theories for understanding AI companies and designing machine learning-based applications. The course addresses central questions such as: Do we really need AI? What problems can machine learning effectively solve? What is the current impact of AI on the economy, society, and ecology? How can AI be applied to new domains? And what role do humans play in shaping AI systems?

Building on fundamentals of information systems strategy and enterprise modelling, students reflect on how strategy and organizational design influence the ability of AI companies to create sustainable futures. The course particularly investigates the generative capacity of data, tools, and machine learning models, and covers topics such as bias in data and algorithms, explainability of AI, accuracy, sovereignty, (inverse) scalability, and model framing.

Throughout the module, students critically examine the sustainability impacts of both managerial and algorithmic decision-making, including effects on health and well-being (SDG 3), gender equality (SDG 5), and climate action (SDG 13).

Find more details about the course, schedule, and registration here.