Pathway: High Automation, Low Ethics
High Automation, Low Ethics
Section titled “High Automation, Low Ethics”Your Profile
Section titled “Your Profile”You’re comfortable building AI-assisted workflows but may be moving fast without checking outputs carefully. This pathway helps you build verification habits into your existing automation skills.
Recommended Sequence
Section titled “Recommended Sequence”- Start with EP-Basic-01 — Establish a baseline for checking AI output
- Then EP-Intermediate-01 — Build verification into your workflows
- Then WA-Intermediate-01 — Level up automation with ethics baked in
- Stretch: EP-Advanced-01 — Design an accountability system
Common Pitfalls
Section titled “Common Pitfalls”- Seeing verification as a speed bump. Your automation instinct treats every additional step as overhead. But verification isn’t overhead — it’s quality assurance. The goal is to make verification efficient, not to eliminate it.
- Building trust in AI consistency. Because your workflows run smoothly most of the time, you develop false confidence that AI output is reliable. AI fails unpredictably — the 99 correct outputs make the 1 confidently wrong output much more dangerous.
- Confusing “I automate ethically” with “I have ethical habits.” You may believe your intentions are good (and they probably are), but good intentions without systematic checks produce the same result as no intentions at all. The question isn’t whether you care about accuracy — it’s whether your processes guarantee it.
- Resisting the checklist. If you’re the type who builds systems, using someone else’s checklist feels awkward. But EP-Intermediate-01 asks you to build your own — customized to your work, tested against real outputs, and integrated into your existing workflows.
What Leveling Up Looks Like
Section titled “What Leveling Up Looks Like”- Every AI workflow you build includes an explicit quality gate — a point where output is checked before it moves forward
- You can classify your AI-assisted tasks by risk level and apply appropriate verification standards (not everything gets the same scrutiny — but nothing gets zero scrutiny)
- You catch AI errors before they reach stakeholders, not after
- You’ve built a personal verification checklist and it’s become habit — you use it without thinking about it
- When you design a new automation, your default question is “where should the human check go?” rather than “how do I eliminate all human steps?”