No, Chatbots Will Not Be Controlling Air Travel
Distinguish AI traffic-planning support from chatbot control, and ask how aviation recommendations are checked and which decisions stay human.
The Reading Room
Distinguish AI traffic-planning support from chatbot control, and ask how aviation recommendations are checked and which decisions stay human.
Visible behavior can carry different cultural meanings. What goes unrecorded creates blind spots for language models and for us.
Understand how flat skill names create ambiguity, and reduce friction and risk through source tracking, reviewed revisions, and deliberate updates.
Identify the last responsible gate where an unverified AI claim must be checked before action becomes hard to reverse.
How to trust AI-assisted business analytics by defining the metric, inspecting the calculation, and following the number back to its source.
Human-shaped model behavior raises choices about usefulness, safety, and the friction people face when those patterns are suppressed.
How independent recovery paths, retention, and tested restores help a business recover from mistakes, outages, and data loss.
Faster implementation changes when we can validate a system against the business it serves, and how we should plan to stay involved.
What weaker monitoring of visible reasoning means for AI oversight, trust, and the checks people choose.
Shared Conceptual Vocabulary for Working with AI
An invitation to revisit an old curiosity and see where a conversation with generative AI might lead.
When AI systems behave in unexpected ways, senior leaders need to examine the objectives, tools, permissions, monitoring, and organizational capacity surrounding the model.
Generative AI can produce fluent language before purpose, audience, and evidence are fully formed. That changes the thinking loops we need.
Relevant context helps define an AI task through useful constraints, which makes a fitting answer more likely.
A grounded reflection on brainstorming with AI, chasing creative rabbit holes, and keeping human judgment in charge.
A short PSA about choosing the right tool for the job, and teaching Generative AI through guided, low-stakes practice.
A reflection on generative AI as an invitation for broader participation, patient teaching, and community learning.
A systems-thinking article explaining why AI adoption feels chaotic when capability, understanding, governance, resilience, human adaptation, and scale all move at different speeds.
A plain-language explanation of why AI-powered second brains depend on maps, indexes, and human validation to find the right information.
A reflection on how convenience, efficiency, and automation can quietly remove the alternate paths an organization needs during disruption.
A practical article on stress-testing AI-powered second brains for retrieval, source authority, calibration, and safe operating boundaries.
GenAI can expose the kind of technical debt where business meaning and implementation paths have drifted apart.
A practical how-to article on using transcript-based collaboration friction as one measurement tool for improving agentic work environments.
A field note on using shared operating principles to make human-AI collaboration more trustworthy.