Collaborative AI Supported Engineering integrates human expertise with AI capabilities in engineering workflows by enabling joint problem-solving iterative refinement and shared decision-making while maintaining human oversight and leveraging complementary strengths for design evaluation and implementation.
CAISE denotes collaborative AI-supported engineering between humans and AI systems. CAISE describes an engineering context in which humans and AI systems work collaboratively to design, evaluate, and realize solutions. It emphasizes shared responsibility, complementary strengths, and iterative learning, rather than automation-first or replacement-oriented approaches. Important links relevant to CAISE: Trusted Intelligence Timeboxed Innovation This page is currently under construction.