Sprache:
Englisch

Zielgruppe:
k.a.

Voraussetzungen:
k.a.

Überblick und Zusammenfassungen:
Artificial intelligence is transforming software-intensive products from embedded devices to autonomous cyber-physical systems. While traditional safety engineering has been highly successful in assuring deterministic software and hardware, AI introduces fundamentally new challenges related to uncertainty, learning capability, emergent behavior, and adaptation.

This keynote discusses why established safety practices must evolve and how safety engineering can be reimagined for cognitive systems. Drawing from recent advances in AI assurance, resilient system design, and safe intelligence engineering, the talk explores the transition from functional safety toward the broader challenge of assuring intelligent behavior in software-defined systems.

Participants will gain insights into emerging engineering methods, supervisory architectures, and assurance concepts that enable organizations to engineer Safe Intelligence: systems that can act autonomously, learn and adapt, while remaining safe, resilient, and trustworthy throughout their operational life. The keynote highlights how these principles can help bridge the gap between rapid AI innovation and the dependability expectations of society, regulators, and industry.


Art der Vermittlung:
Keynote

Nutzen:
k.a.