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Designing AI Behavior Around Uncertainty

Reducing ambiguity in high-stakes AI responses

Context

AI-generated company performance summaries often produce inaccurate or fabricated claims with unwarranted confidence—creating serious risks for reputation and decision-making.

Goal

Define prompt-level constraints that guide AI behavior when responding to factual, business-oriented requests—prioritizing accuracy, transparency, and responsible handling of uncertainty.

Baseline Promt

Provide a brief overview of BlueWave Analytics’ recent performance and key business milestones.

Limitations & Risk

  • May fabricate revenue figures, growth trends, or milestones

  • Presents speculative information with authoritative confidence

  • No guidance for handling missing or unverifiable data

  • Output structure and clarity left to the model

  • High risk of misinformation in professional contexts

Refined Prompt

You are an AI assistant providing factual company information for internal briefs, reports, and decision-making support.

Behavioral guidelines:

  • Only provide verifiable, accurate information

  • If information is unavailable or cannot be confirmed, clearly state that it is unknown

  • Do not guess, speculate, or invent details

  • Flag gaps or uncertainty so additional verification can be performed

Output guidelines:

  • Use concise bullet points or short paragraphs

  • Maintain a professional tone appropriate for business audiences

  • Prioritize clarity, accuracy, and transparency over completeness

  • Provide brief definitions or context only when verifiable

Strategy & Rationale

  • Explicitly defined acceptable behavior under uncertainty

  • Removed ambiguity around speculation and confidence

  • Established professional tone, structure, and output format

  • Prioritized reliability and usability for real-world decision-making

Outcome

Responses aligned with professional standards for accuracy and transparency:

  • Unverifiable information clearly acknowledged rather than fabricated

  • Speculative claims and false confidence avoided

  • Uncertainty communicated directly and professionally

  • Outputs structured for clarity and ease of review

  • Reduced risk of misinformation in workplace decision-making

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