Advanced design process models

adaptive, non-linear, and hybrid process structures; process dynamics, feedback loops, decision

architectures

AI as a strategic actor within the design process

capabilities, limitations, biases, and systemic effects of AI tools on design workflows

Advanced AI-supported exploration and concept development

problem framing, reframing, hypothesis-driven ideation, generation and evaluation of complex

design variants

Tool orchestration and process configuration

strategic combination of AI-based and non-AI-based tools; definition and adaptation of process

sequences

AI-supported analysis, synthesis, and evaluation

pattern recognition, clustering, comparative evaluation, and decision support within design

processes

Meta-level reflection on process decisions

tool selection rationales, impact on design direction, speed, depth, and quality of outcomes

Critical and ethical dimensions of AI in design practice

authorship, accountability, transparency, bias, dependency, and responsibility in professional

contexts