Dr. Michael Shermer reminds us:
“Skepticism is not a position; it’s a process.”
That process feels more urgent and important than ever. AI can generate dazzling insights, but it can also produce errors, biases, and illusions of certainty. Skepticism isn’t about cynicism or rejection; it’s about critical inquiry, verification, and disciplined questioning.
In a world where algorithms shape decisions, the real advantage belongs to leaders and professionals who ask:
* What evidence supports this output?
* What assumptions are hidden in the model?
* Where could bias creep in?
Skepticism in the AI era isn’t resistance; it’s resilience. It’s how we ensure technology serves truth, not just speed.
Question for you:
Do you see skepticism as a skill we need to teach more actively in organizations adopting AI?
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