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Posted2 months agoActive2 months ago
Ask HN: Can verifiable honesty rebuild trust in AI systems?
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Ask HN: Can verifiable honesty rebuild trust in AI systems?
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Discussion (5 comments)
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Thanks for reading — this project isn’t about “AI safety theater.”
We’re experimenting with verifiable honesty: every model response carries its own determinacy, deception probability, and ethical weight
Instead of “trust me,” the system says, “check for yourself.”
We’re curious how the HN community sees this: Can trust in AI be engineered through transparency? Or does showing the uncertainty just make it harder to trust?
How does that let you check for yourself, though? Don't people still have to trust that the reported probabilities and weights are both meaningful and correct?
Also, people tend to be pretty bad at interpreting probabilities.
2 months ago
That’s a fair point — verification itself still depends on trust in the verifier What we’re trying to test isn’t absolute truth, but transparency under uncertainty
You’re right that people often misread probabilities — but maybe that’s the point
If we can see uncertainty, even imperfectly, it starts a different kind of trust
Not blind faith — more like “I know what this system knows it doesn’t know.”
2 months ago
I’ve been thinking more about that — maybe verifiability doesn’t remove trust, it just changes where we place it Not in the system, but in the transparency of its process
2 months ago
Gotta see it in action.