Machine Mediation
Designing automation and AI interactions so they enhance human judgment, not replace it blindly.
domain > Sociotechnical Systems
Human, organizational, and technical dynamics continuously shape each other. Decisions, actions, and knowledge emerge through their interaction rather than any single part.
Designing automation and AI interactions so they enhance human judgment, not replace it blindly.
The human networks, norms, and shared practices that create living structures of coordination and meaning.
Foundational principles for structuring resilient and maintainable systems.
Creating systems that can evolve as requirements, scale, or technologies change.
Sociotechnical systems are where knowledge actually lives.
Every decision, artifact, and outcome emerges from the interaction between people, tools, and the structures that connect them. There is no “technical system” separate from the humans who interpret, adapt, and operate within it—and no “human system” untouched by the tools that shape behavior and possibility.
When these elements are treated as separate concerns, systems become brittle. Technology scales without meaning. People compensate through effort, workarounds, and invisible coordination. Knowledge fragments instead of compounding.
When they are designed together, systems become adaptive. Human judgment is supported rather than replaced. Technology extends capability instead of constraining it. Relationships carry meaning across roles, tools, and time.
This domain focuses on making those interactions visible and intentional—so knowledge can move through the system without distortion, loss, or unnecessary effort.
This talk walks through a real sociotechnical system in action—showing how teams operate with responsible autonomy, full ownership of work, and continuous adaptation to a changing environment. Rather than separating people, technology, and structure, the system is designed so they evolve together.
Knowledge can’t flow when people use the same words to describe different experiences. Defining important concepts — so others understand what you mean when you use them — is a core knowledge practice.
Designing systems where human and technical elements are shaped together, so improvements in one do not degrade the other.
Teams are given the authority to make decisions about their work, along with accountability for outcomes—enabling adaptation without losing coherence.
Systems that continuously interact with and adapt to their environment, rather than operating as closed, controlled mechanisms.
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A learning journey through the fireswamp of modern knowledge work — where how you learn matters more than what you know.
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