Learn how to design safer, more intuitive, and responsible AI-powered interfaces using human-centered AI, cognitive ergonomics, and explainable AI principles.

Designed for AI professionals, interface designers, human-AI interaction specialists, and professionals working with intelligent systems, this course explores cognitive workload, human-machine alignment, and the factors influencing human performance in AI-driven environments. Examine how trust, situational awareness, human oversight, and adaptive automation support effective human-AI collaboration. Learn to evaluate authority-transfer strategies, apply ecological interface design principles, and identify ways to reduce human error in complex systems. Explore resilient and ethical AI interface design, explainable AI, and human skill augmentation. Analyze explainability challenges in safety-critical industries and emerging cognitive AI standards that support transparency, accessibility, and responsible automation. By the end of the course, you'll be able to assess cognitive demands, evaluate automation risks, apply human-centered interface design principles, and recommend improvements to human-AI collaboration. What makes this course distinctive is its integrated focus on cognitive ergonomics, safe automation, ethical design, and explainable AI, helping you make informed decisions when designing and evaluating intelligent interfaces.