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Uncertainty Between Prediction and Interpretability

机译:预测和可解释性之间的不确定性

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摘要

The goal of artificial intelligence is to approximate human's minds, making a computer indistinguishable with human beings. In the era of deep learning, we see the prediction performance of computer program is almost superior to that of human. However, the higher the prediction performance, the farther the distance that we reach the real intelligence. In this talk, I will discuss this issue from the view of the uncertainty between prediction and interpretability, and mention some possible direction based on the uncertainty principle.
机译:人工智能的目标是逼近人类的思想,使计算机与人类无法区分。在深度学习时代,我们看到计算机程序的预测性能几乎优于人类。但是,预测性能越高,我们到达真实智能的距离就越远。在本次演讲中,我将从预测和可解释性之间的不确定性的角度讨论此问题,并提出基于不确定性原理的一些可能的方向。

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