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Understanding AI's Interpretation of Risk in Critical Fields

KTSM••Mayank Kejriwal Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
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The growing reliance on large language models in essential sectors such as healthcare, government, and science raises concerns about how these AI systems convey risk. The term 'probably' can have different interpretations for AI compared to human understanding, which can lead to misunderstandings in high-stakes situations. This discrepancy highlights the importance of public trust in AI communications, especially when decisions based on AI outputs can impact lives and policies. As AI continues to evolve, ensuring clarity in risk communication is crucial for stakeholders in these fields.

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