First, using data to drive your decisions can avoid the overwhelming effect of human bias.

首先，使用数据来驱动您的决策可以避免人为偏见的压倒性影响。

Hmm, so these AIs might actually replicate some of the existing human biases that are already in medicine.

嗯，这些人工智能实际上可能会复制一些医学上现存的人类偏见。

Algorithmic bias, like human bias, results in unfairness.

算法偏见，就像人类偏见一样， 会导致不公平。

And what about when AI is shaped and influenced by human bias?

当人工智能受到人类偏见的塑造和影响时呢？

Dating can be hard when you're the only person in the room who has understood and transcended all human bias.

当你是房间里唯一理解并超越所有人类偏见的人时，约会可能会很困难。

Of course, as machines are programmed by humans and their conclusions used to support human decisions, they can be susceptible to human bias, and their findings can be used selectively.

当然，由于机器是由人类编程的，它们的结论被用来支持人类的决策，它们可能会容易受到人类偏见的影响，它们的发现可以有选择地使用。

Knowledge is important, but what's also needed is a questioning attitude than can recognise objective truth a truth about the natural world which is not influenced by human bias, opinions or emotion.

知识很重要，但我们也需要一种质疑的态度，而不是识别客观真理能力——客观真理是关于自然世界的真理，不受人类偏见、观点或情感影响。