人工智能、解释、信任、责任和正义

R. Baecker
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引用次数: 1

摘要

我们对自己作为人类的地位和目的的看法受到了一些挑战。科学家查尔斯·达尔文的研究证明了人类和其他动物之间的进化联系。精神分析学创始人西格蒙德·弗洛伊德阐明了潜意识的力量。人工智能(AI)的最新进展挑战了人类作为最具思考能力物种的身份。机器现在是否会“思考”已经不再有趣了。重要的是要批判性地考虑他们在多大程度上被要求在重大的、往往是生命攸关的情况下做出决定和采取行动。我们已经讨论了人工智能在智能辅导、医学、新闻报道和假新闻、自主武器、智能汽车和自动化方面日益重要的作用。第11章关注的是由于人工智能的进步而改变我们生活的其他方式,以及随之而来的机遇和风险。自2000年以来,人工智能已经发生了范式转变。在此之前,重点是在特定领域的知识表示和人类专业知识的建模,以便开发能够解决问题和执行基本任务的专家系统。现在,重点是能够进行机器学习(ML)的神经网络。最成功的方法是深度学习,即处理元素的复杂分层组合使用数百万个训练数据样本进行“学习”。这样他们就能在新情况下做出正确的决定。我们还将提出一个激进的、对我们大多数人来说是可怕的、没有限制的人工智能概念——技术奇点或超级智能。尽管超级智能目前仍是科幻小说,但人类正在问,机器智能是否有任何限制。因此,我们将讨论广泛使用ML算法的社会和伦理后果。这种分析有助于更好地理解智力是什么,所以我们提出了由著名心理学家提出的两个有见地的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence, explanations, trust, responsibility, and justice
There have been several challenges to our view of our position and purpose as human beings. The scientist Charles Darwin’s research demonstrated evolutionary links between man and other animals. Psychoanalysis founder Sigmund Freud illuminated the power of the subconscious. Recent advances in artificial intelligence (AI) have challenged our identity as the species with the greatest ability to think. Whether machines can now ‘think’ is no longer interesting. What is important is to critically consider the degree to which they are called upon to make decisions and act in significant and often life-critical situations. We have already discussed the increasing roles of AI in intelligent tutoring, medicine, news stories and fake news, autonomous weapons, smart cars, and automation. Chapter 11 focuses on other ways in which our lives are changing because of advances in AI, and the accompanying opportunities and risks. AI has seen a paradigm shift since the year 2000. Prior to this, the focus was on knowledge representation and the modelling of human expertise in particular domains, in order to develop expert systems that could solve problems and carry out rudimentary tasks. Now, the focus is on the neural networks capable of machine learning (ML). The most successful approach is deep learning, whereby complex hierarchical assemblies of processing elements ‘learn’ using millions of samples of training data. They can then often make correct decisions in new situations. We shall also present a radical, and for most of us a scary, concept of AI with no limits—the technological singularity or superintelligence. Even though superintelligence is for now sciencefiction, humanity is asking if there is any limit to machine intelligence. We shall therefore discuss the social and ethical consequences of widespread use of ML algorithms. It is helpful in this analysis to better understand what intelligence is, so we present two insightful formulations of the concept developed by renowned psychologists.
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