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What's your approach to communicating uncertainty in AI outputs to users?

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  1. Victor Dronov
    Victor Dronov

    Atlassian Head of Product, Trello • Jun 3

    Trust isn’t broken when AI makes a mistake; it’s broken when AI acts completely confident while being dead wrong. Design language of predictable imperfection is what can help here. Here is what I love in the emerging AI experiences, which are designed for those inevitable misses: Tone down the certainty: Shift the UI copy from definitive to suggestive. Use terms like "Suggested tags" or "Drafted summary" rather than framing outputs as absolute facts. Visual hedging: Use distinct visual wrappers ...Read More

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