The Shape of This Track
A free lesson from Swipe AI · AI Ethics & Safety, level 1 · updated October 2026
By the Swipe team, founded by Colin · how we make lessons
With the scope set, here's the actual roadmap. The next two levels dig into fairness from two angles: Level 2 covers where bias actually comes from mechanically, and Level 3 covers why "fairness" itself isn't one simple, universally agreed-upon idea.
Levels 4 and 5 turn to risk: Level 4 covers privacy in the age of AI, including what it means for a model to "remember" fragments of what it trained on, and Level 5 covers misuse — the same capability that genuinely helps people can also genuinely be misused.
L2-L3: Fairness -> where bias comes from, why fairness isn't one simple thing L4-L5: Risk -> privacy in the AI age, misuse and dual-use L6-L7: Response -> accountability, transparency and explainability L8-L9: Practice -> safety testing before deploying, governance and oversight L10: Capstone -> tied together, bridges to AI Agents & Automation
The back half turns practical: Level 6 covers accountability — who's actually responsible when something goes wrong — and Level 7 covers transparency, including why a model's reasoning being hard to read (a fact this app's Deep Learning track covers in technical depth) matters for real-world trust. Levels 8 and 9 close with safety testing before deployment and the state of governance and oversight, and Level 10 ties the whole track together.
What do Levels 2 and 3 of this track cover?
Level 10 is this track's ____, tying the whole arc together and bridging to AI Agents & Automation.
This track's levels are arranged in a completely random order with no particular arc connecting them.
Beyond the Headlines
10 questions · pass with 60% — just like in the app.
What is this track's actual focus, as opposed to the science-fiction image many people picture?
This track treats AI ethics and safety as vague, unanswerable anxieties rather than concrete questions.
A core practical question this track asks is who is actually ____ when an AI system gets something wrong.
How does this track relate to AI Fundamentals' bias content and Using AI Tools Well's safety content?
This track assumes you already understand that skewed training data can produce skewed outputs.
AI Fundamentals and Using AI Tools Well were written from the ____'s side of the table; this track shifts to the builder/deployer side.
What do Levels 2 and 3 of this track cover?
Level 10 is this track's capstone, tying the whole arc together and bridging to AI Agents & Automation.
Levels 6 and 7 turn practical, covering ____ and transparency.
What is the overall arc of this track's ten levels?
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