The Bridge Spiral: AI Literacy Under Stress
A trauma-informed workflow for navigating information and AI tools without fear.
Why this exists AI can amplify noise, certainty theater, and social harm. This workflow trains a calmer, more accurate way to interact with information — especially during climate, health, or civic emergencies.
Three instruments
Gyroscope: Am I in a state to think clearly?
Radar: Am I seeing enough of the real system?
Compass: Am I ready to act with integrity? Integration (Clubs): Do I need to cope, adapt, or transform?
Step 0 — Safety rule (self-kindness first)
If you feel flooded, ashamed, panicked, or numb: slow down. This is not weakness. It’s how the brain protects itself.
A) Gyroscope (Hearts)
P — Pause (10–60 seconds)
Breathe. Feel feet/hands. Name your state in one sentence.
Ask: Am I activated? Am I tired? Am I hungry? Am I triggered?
R — Regulation
Choose one stabilizer: water, movement, grounding, supportive contact, a short walk.
If conflict is present, aim for repair-ready (not “win-ready”).
B) Radar (Spades)
U — Uncertainty tolerance
Replace “I know” with: How confident am I (0–10)? What would change my mind?
S — Sources
Ask: Where did this come from? Who benefits if I believe it?
Prefer primary sources, named experts, and transparent methods.
E — Externalities
Ask: Who pays the hidden cost? (labor, ecosystems, vulnerable groups, long-term trust)
C) Compass (Diamonds)
O — Orientation
Reframe: What system am I in? What incentives are shaping behavior?
V — Validation
Use a “small test” before big conclusions (triangulate, compare, log assumptions).
K — Kindness
Choose an action that minimizes harm and supports dignity.
Kindness = warm truth + firm limits + repair commitment.
D) Integration (Clubs)
Ask one question: Is this a coping, adapting, or transforming moment?
Cope: stabilize and reduce harm now
Adapt: change habits/tools/processes
Transform: change rules/incentives when the system is harmful
AI use rules (fear-free)
Use “mixture of experts”: ask 2–3 systems + compare.
Use Wikipedia as a bias check: compare claims to neutral summaries and citations.
Avoid social feeds when stressed: they are optimized for activation, not truth.
Log your assumptions: date, source, confidence, what would update your view.
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