Lifecycle-Spanning AI Supported Human-Centered Systems Engineering

In an increasingly digitalized and interconnected world, systems are growing in complexity, longevity and level of automation, up to autonomy. Yet, these systems are supposed to assist and support humans and to adhere to their needs. They consequently have to be usable, safe and effective. These trends yield two main challenges: (a) extending traditional systems engineering tasks to cover the complete lifespan of these systems, thus yielding continuous design processes for human centered engineering and (b) incorporating safe and trustworthy AI methods into these processes to help coping with complexity, design space exploration, and human centered evaluation. .

Lifecycle-spanning human-centered systems engineering supported by AI methods and tools addresses critical challenges such as evolving user needs, organizational change, technological advance and obsolescence, ethical accountability, trustworthiness of AI methods, standardization, and many more. It fosters resilient, inclusive, and adaptable solutions which function technically and support the real-world contexts in which they are embedded. As systems become more autonomous and integrated into everyday life, using AI methods to support the Engineering tasks considering the human element at every stage is no longer optional—it becomes essential.

With this workshop, SafeTRANS is inviting its community from industry and academia to discuss open issues, current trends in research, and needs for research and envelopment in lifecycle-spanning, AI supported, human-centered systems engineering. Centered around three research topics "AI supported Human Centered Systems Engineering", "Certification of AI-based Systems", and "Validation of Evolutionary Systems", we will identify the state-of-the-art, open gaps, needs for further research, and opportunities for collaboration.

The SafeTRANS Forum is collocated with the yearly meeting of the Archimedes Consortium, a cooperation of four internationally renowned research institutes, namely
- the DLR Institute of Systems Engineering for Future Mobility (Germany)
- TNO-ESI (The Netherlands)
- SERC (USA)
- Center for Trustworthy Edge Computing Systems and Applications (TECoSA) at KTH (Sweden)

Join us, too, in identifying key research and development needs for AI supported systems engineering approaches where human-centered considerations are not just an addition, but a fundamental principle from conception to decommissioning.