|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/ai-and-the-illusion-of-intelligence
课程评论:没有评论
课程名称:人工智能与智能的幻觉 课程概述:人工智能是否很快会超越人类?这是我们时代的一个核心问题,但这个问题可能并不是关键。在本课程中,我们将以非技术性的视角探讨人工智能的起源及其未来发展。我们将了解到,不必期待人工智能会超越人类,相反,我们正在学习的是如何创造一种智能的幻觉。 课程大纲: - 第一周:智能的幻觉 描述:人工智能是否能够匹配或超越人类智能?这一问题迅速成为我们时代的中心话题,但正如我们将看到的,这实际上是一个错误的问题。通过模块,我们将借鉴几个世纪以来对机器和智能的思考,获取深刻见解。 - 第二周:语言的技术 描述:正如图灵在半个多世纪前预见的那样,计算机技术有了惊人的发展,计算机能够模仿人类智能的某些方面。但更重要的是,历史上我们第一次深入理解了人类智能的本质,尤其是关于语言的理解,这被称为认知革命。当我们思考人工智能时,我们往往关注机器,实际上,这一直都是关于我们自身的思考。 - 第三周:计算机会理解我们吗? 描述:在人工智能的发展,尤其是语言技术方面,取得了显著的进展。但使用语言的主要目的是传达意义——人工智能是否正在朝着理解意义的目标发展?认为计算机能够理解我们是否有意义? - 第四周:人工智能——一种新生物? 描述:阿兰·图灵通过图灵测试提出,计算机可能会匹配甚至超越人类,许多人对此越来越担忧。但图灵也通过停机问题表明,许多问题超出了可以计算的范围。没有理由假设人类智能会被计算捕获。更重要的是,人类智能和能力并不是静态的,人工智能最好被视为放大人类能力的一种方式。
Name:Week 1: Illusions of Intelligence
Description:Can AI match or surpass human intelligence? This is rapidly becoming the central question of our time -- but as we will see, it's the wrong question. In this module we will see that we can gain insight from centuries-old ideas about machines and intelligence.
Name:Week 2: The Technology of Language
Description:As Turing foresaw over a half-century ago, there has been a stunning development in computer technology, to the point where computers can mimic aspects of human intelligence. But something much bigger has happened -- we have begun for the first time in history to profoundly understand the nature of human intelligence, especially concerning language, in what has become known as the cognitive revolution. When we think about AI, we tend to think about the machines -- but in fact, it has always been all about us.
Name:Week 3: Will Computers Ever Understand Us?
Description:There has been impressive progress in AI development, especially concerning language technology. But the whole point of using language is to communicate meaning -- is AI progressing towards the goal of understanding meaning? Does it even make sense to think that a computer could understand us?
Name:Week 4: AI -- a New Kind of Being?
Description:With the Turing Test, Alan Turing suggested that computers might conceivably match or even surpass humans -- this is something more and more people are worried about. But Turing also showed, with the Halting Problem, that many problems go beyond what can ever be computed. There's no reason to assume that human intelligence could ever be captured by computation. More importantly, human intelligence and abilities are not static -- and AI is best thought of as a way of amplifying human abilities.
Will AI soon be surpassing humans? This is rapidly becoming one of the central questions of our time -- but it is the wrong question. In this course, we will provide a non-technical look at where AI has come from, and where it is going. We will see that there is no reason to expect that AI will be surpassing humans. Instead, what we are learning to create with AI is the illusion of intelligence.