Free Download Thinking In Living SystemsPublished 1/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 1h 4m |
Size: 1.36 GB
Designing for Judgment When Rules and Automation Fall Short
Understand why rule-based systems fail under complexity and what replaces compliance as a measure of success
Learn how judgment and tacit knowledge operate when rules, data, and explanations fall short
Apply insights from Gödel, Escher, Bach and Whitehead to modern systems, teams, and AI collaboration
Recognize how AI exposes gaps in human judgment and how to design smarter human-AI partnerships
Shift from enforcement-based processes to systems that observe, adapt, and evolve over time
Design lightweight guardrails that support discernment, learning, and better decisions under pressure
RequirementsNo formal prerequisites are required. This course is designed for curious professionals, leaders, designers, and thinkers who want to improve judgment, decision-making, and system design in complex environments. A general comfort with reflective thinking is helpful, but no background in philosophy, AI, or systems theory is assumed. All concepts are explained clearly and built progressively throughout the course. This course is best suited for learners who are willing to question assumptions, think beyond rules, and engage with real-world complexity rather than seeking step-by-step formulas. If you can think, reflect, and apply ideas to your own work or life, you're ready for this course.
DescriptionMost modern systems were designed for a world that no longer exists.They assume stability where there is volatility. They rely on rules where judgment is required. They optimize compliance even as complexity makes certainty impossible.This course is an invitation to rethink how we design systems, processes, and human-AI collaboration in a world defined by ambiguity, speed, and constant change.Drawing on the ideas of Douglas Hofstadter (Gödel, Escher, Bach) and Alfred North Whitehead (Process and Reality), this course explores a deeper question that sits beneath technology, management, and design:How does meaningful judgment emerge in complex systems when rules run out?You'll learn why intelligence and understanding cannot be installed through procedures alone, why enforcement-based processes fail under pressure, and why tacit knowledge and discernment are now the most valuable human capabilities inside modern organizations.Rather than treating AI as an authority or replacement, this course reframes AI as a mirror and amplifier-one that exposes gaps in judgment and makes human sensemaking more important, not less.Across ten focused lessons, you'll move from diagnosing why traditional systems break, to designing processes that observe, adapt, and evolve. You'll explore real-world scenarios, practical "Try This" exercises, and design principles that help preserve human judgment while leveraging automation responsibly.This is not a course about tools, trends, or shortcuts.It's a course about thinking more clearly, designing more resilient systems, and developing the discernment required to decide well when certainty is unavailable.If your work sits at the intersection of people, systems, decisions, and emerging technology, this course will change how you see what matters-and how you design for what comes next.
Who this course is forThis course is for professionals who sense that traditional processes no longer match the complexity of the work they're doing. It's designed for leaders, designers, and practitioners who make decisions in ambiguous, high-pressure environments where rules are incomplete and judgment matters. It's especially relevant for: Knowledge workers, managers, and consultants navigating AI-augmented work UX, product, systems, and service designers working beyond rigid frameworks Senior professionals whose value comes from experience, pattern recognition, and discernment Leaders responsible for teams operating under uncertainty and rapid change Anyone interested in designing human-centered systems that learn, adapt, and evolve This course is not about tools, automation, or quick fixes. It's for people who want to think more clearly, design more resilient systems, and strengthen judgment where it matters most.
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