AI in society — the unexamined mind
人工智能走向社会—无法检验的思维
Part 5 原文
The reason for this fear is that deep-learning programs do their learning by rearranging their digital innards in response to patterns they spot in the data they are digesting. Specifically, they emulate the way neuroscientists think that real brains learn things, by changing within themselves the strengths of the connections between bits of computer code that are designed to behave like neurons. This means that even the designer of a neural network cannot know, once that network has been trained, exactly how it is doing what it does. Permitting such agents to run critical infrastructure or to make medical decisions therefore means trusting people's lives to pieces of equipment whose operation no one truly understands.
Part 5 翻译
产生这种恐惧的原因是,深度学习程序会在处理的数据中发现模式,并据此重组自身的数字结构,从而完成学习过程。具体来说,这些程序在模仿神经科学家所认为的真实大脑学习事物的方式,即通过改变这些代码内部设计成像神经元一样行为的计算机代码之间的连接强度。这意味着,一旦该网络被训练,即使是神经网络的设计者,也不能确切知道其行为方式。因此,若允许这些代理运行关键的基础设施或做出医疗决策,
来源:公众号-唐迟老师
网友评论