Can AI make scientific data more equitable?

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Abstract

Biased and unrepresentative scientific data can lead to misleading conclusions and potentially harm patients. Artificial intelligence (AI) might be able to help make data more representative, but only if a standardized approach to assessing the quality of AI-generated data is established.
人工智能能让科学数据更加公平吗?
有偏见和不具代表性的科学数据可能导致误导性结论,并可能对患者造成伤害。人工智能(AI)可能有助于使数据更具代表性,但前提是建立了一种评估人工智能生成数据质量的标准化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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