Advances in AI and machine learning systems have given rise to a contemporary euphoria of progress. This commentary discusses the challenges posed by advances in artificial intelligence, or more precisely the increasing usage of algorithmic systems, in global health, sometimes carried forward by an almost blind faith in numbers and automation. Yet we share no common definition of fairness in AI and global health; regulation and regulatory oversight of algorithms seem impossible; and transparency is highly unlikely as algorithms themselves can represent immense commercial value. As we cannot erase the risk of bias in any system that emulates or interacts with our world, the grand challenge becomes to balance innovation with fairness and equality.

中文翻译：

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算法偏差和数字的（错误）承诺

人工智能和机器学习系统的进步引起了当代的进步快感。这篇评论讨论了人工智能的进步所带来的挑战，或者更准确地说，算法系统在全球健康领域的使用越来越多，有时是由于对数字和自动化的几乎盲目信仰而带来的挑战。然而，我们对人工智能和全球健康的公平性没有共同的定义；对算法的监管和监管似乎是不可能的；并且透明度极不可能，因为算法本身可以代表巨大的商业价值。由于我们无法消除任何模仿世界或与世界互动的系统中的偏见风险，因此最大的挑战就变成了平衡创新与公平和平等。