Use of artificial intelligence (AI) in system generation development - potentials and fields of action

Artificial intelligence (AI) is currently on everyone's lips - but what is really behind it? What specific opportunities and possibilities does AI open up for product development? AI could play a key role in system generation development in particular: It could conceivably be used to analyze complex interrelationships more efficiently, make well-founded, data-based decisions and establish completely new, innovative approaches in development processes. But how can AI be specifically integrated into product development? What opportunities can be realized, what challenges arise and what fields of action need to be identified in order to optimize the use of AI in system generation development?

Your task:

The aim of this thesis is to systematically investigate the role and potential benefits of AI in system generation development. In detail, this means:

• Analysis of the current status of development processes in system generation development
• Investigating the potential and challenges of using AI in these processes
• Identification of fields of application and specific problems that could be optimized by AI
• Derivation of recommendations for the implementation of AI in system generation development

This thesis lays the foundation for a better understanding of the use of AI in system generation development and offers practical approaches for optimizing development processes.

Am I suitable for this?

If you have an interest in technology (e.g., mechanical engineering, electrical engineering, mechatronics, computer science, industrial engineering, etc.) and are interested in new topics such as AI, you fit the profile perfectly! You should enjoy researching new and interesting topics and be willing to delve into the theory of product development.

Your benefits:

• Work on a highly relevant topic with practical relevance
• The possibility of a joint scientific publication
• Willingness to familiarize yourself with various specialist areas
• Intensive 1:1 coaching with a research assistant

Still have questions or interested? Then please send an e-mail to lars.gesmann∂kit.edu.