How to Spot Them

Signature behaviours:

Reflects before adopting – Doesn’t use tools just because they’re trending.
Journals or discusses AI – Thinks in public, writes posts, or leads debates.
Adapts with intention – Changes AI use based on reflection, not habit.
Runs small experiments – Tests AI in low-risk ways before scaling.
Checks for fairness and impact – Scrutinises bias, ethics, and sustainability.

What this means for you:

  • They raise the quality of AI thinking in any team.
  • They help avoid unethical use, blind spots, and bias blow-ups.
  • But if not supported, they can delay adoption or miss first-mover advantages.
  • With the right guardrails, they become your ethical compass and trusted evaluator.

Heads up — this bit’s for members.

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