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Humans in the Loop: Learning to Trust in AI but to What Extent?

机译:循环中的人类:学会信任AI,但在多大程度上?

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摘要

Spontaneity makes life worth living. If we had all the answers to every question and could accurately predict the result of our actions and choices before embarking on a particular path into the future, human life would be substantially different—some might even say boring. The fact that we must strive through things ourselves, make mistakes, and learn from them, provides a certain level of freedom that none of us should take for granted. It was not that long ago that we would get into a car with a street directory on our laps, excited to explore a new route for the first time, instead of just delegating our route selection to the shortest path algorithm and relying on it to get us to our destination. While we are all grateful for the ease with which we can now navigate the world, there is an opportunity cost generated by an augmentation–automation paradox.
机译:自发性使生活值得生活。如果我们有每个问题的所有答案,并且可以准确地预测我们的行为和选择,然后在开始对未来的特定途径之前,人类的生活将基本上不同 - 有些可能会说无聊。我们必须努力通过自己的事物,犯错误,向他们学习,提供一定程度的自由,以至于我们都不应该理所当然。很久以前我们将在我们的圈子上用街道目录进入一辆车,兴奋地探索一个新的路线,而不是刚刚将我们的路线选择委托到最短的路径算法,并依赖它来获得我们到目的地。虽然我们都很感激我们现在可以浏览世界的轻松,但是通过增强自动化悖论产生的机会成本。

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