AI formulates requirements, detects contradictions, and translates customer wishes into proposed solutions. What will be left for Requirements Engineers in the future – and how is their role changing?
The approximately 20-minute keynote in the Code and Systems Chapter deliberately puts provocative theses up for discussion: Does AI make classic requirements work obsolete? Does it increase quality, or does it primarily produce convincing-sounding errors? Can it drive innovation even though it is based on existing data? And why might human contradiction become even more important when AI takes on more tasks?
Using concrete examples, we will examine the opportunities and risks of AI in Requirements Engineering, as well as the importance of clear processes, domain expertise, and responsible decision-making.
Afterwards, we will discuss together: Which tasks can we leave to AI, what competencies will we need in the future – and where does human judgment remain indispensable? Bring your experiences, questions, and counterarguments.