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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/economics-of-ai
课程评论：没有评论
课程名称：《人工智能经济学》 课程概述：本课程介绍了人工智能（AI）经济学领域的前沿研究及其对经济增长和劳动力市场的影响。我们将从分析智能的本质和信息理论开始，进而将分析与经济学中的生产模型和技术变革联系起来，探讨这些过程如何受到AI的影响。接下来，我们将研究技术变革如何推动总体经济增长，涵盖潜在的增长奇点等各种情景。同时，我们还会研究AI驱动的技术变革对劳动市场和工人的影响，评估对技术性失业的担忧是否合理。课程的持续部分将分析应对先进AI的经济政策。最后，我们将探讨AI的变革性进展可能带来的重大干扰，并研究人类如何控制高度智能的AI算法。 课程大纲： 1. **什么是智能？** - 本周解析智能的本质、其与代理和目标的关系以及信息理论基础，探讨AI的最新进展对经济的影响。 2. **建模技术进步** - 本周关注如何将技术进步纳入经济模型，尤其是劳动节约型进步和信息商品的增加。 3. **AI与经济增长** - 本周探讨技术进步对经济增长的影响，分析AI时代增长是否会达到超指数增长或产生奇点，抑或退回到马尔萨斯状态。 4. **劳动市场与不平等** - 本周深入探讨AI等技术进步对劳动市场和不平等的影响，关注技术性失业的可能性及其对未来劳动力的影响。 5. **AI时代的经济政策** - 本周分析如何通过经济政策应对由AI进步带来的经济挑战，探索包括技术政策和收入分配等多种响应措施。 6. **变革性AI的经济学** - 本周聚焦更具未来感的话题，分析非人类智能代理对经济的影响，以及AI控制问题的经济学分析，强调经济分析在创造更美好未来中的作用。
Name:What is Intelligence?
Description:Welcome to the Economics of AI! This week, we are starting with an analysis of the nature of intelligence, its relationship to agents and goals, and the basics of information theory. We will also take a quick look at recent advances in AI and what they entail for our economy. These are materials that are not typically covered in economics courses, but they are crucial for understanding the profound changes that AI will trigger in our economy. We will build on them in the economic models that we will cover in the following modules. As you are working through the course materials, please share your impressions in our discussion forum. The forum also has a section in which I want to invite you to discuss the most up-to-date technological advances in AI and speculate how they will affect us.
Name:Modeling Technological Progress
Description:Welcome to week 2 of the Economics of AI! I hope that you have enjoyed the material so far, and that it has changed your outlook on AI. This week, we are going back to a more traditional economic theme: how to capture technological progress in economic models.We will pay particular attention to the possibility of labor-saving progress and to the increasing role of information goods, which differ fundamentally from more traditional factors because they are non-rivalrous. Given the growing importance and use of micro data, we will also cover the economics of production networks, which allows us to capture the effects of innovation at a more granular level. Please share your take – including any difficulties that you have with the materials – on the discussion forum. (And if you are on top of the material, I hope you'll go there to help your fellow classmates :)
Name:AI and Economic Growth
Description:Welcome to week 3. After last week’s materials on modeling technological advances, we are turning to their effects on economic growth, which has traditionally been the main driver of people’s living standards. Humanity has spent much of its history in a Malthusian state in which our material means were just enough to survive. The Industrial revolution marked a sea change and gave rise to continuous growth as captured by e.g. the Solow model. Will growth in the Age of AI follow a similar trajectory? Will it give rise to super-exponential growth or a singularity? Or will it throw us back into a Malthusian state?
Name:Labor Markets and Inequality
Description:Welcome to week 4 of the Economics of AI, in which we will zero in on the implications of technological advances such as AI for labor markets and inequality. We’ll start by looking at the effects of progress on labor markets in a neoclassical model. Next we’ll investigate the scope for technological unemployment and find that we should perhaps be even more concerned about inequality. After going over the developments in labor markets of recent decades, we’ll ask what it would mean for humanity if labor was phased out at in the future.
Name:Economic Policy in the Age of AI
Description:Welcome to week 5. We are using this week to examine how economic policy can respond to the economic challenges generated by advances in AI – based on an in-depth analysis of the relationship between technological progress and welfare. The economic policy responses that we’ll analyze include not only measures to enhance efficiency, such as technology policy, antitrust, or intellectual property regimes, but also measures to make the distribution of income more desirable, including pre-distribution and instruments of redistribution such as a UBI. We’ll also investigate how to steer technology into more desirable directions.
Name:The Economics of Transformative AI
Description:Congratulations on making it to the sixth and final week of our course, in which we will focus on two topics that are a bit more futuristic. First, we will examine how to think about an economy in which humans aren’t the only intelligent agents. Second, we will use the tools from economics to analyze the AI control problem. We conclude by highlighting the important role that thoughtful economic analysis can play in creating a better future.
The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity. We also study the impact of AI-driven technological change on labor markets and workers, evaluating to what extent fears about technological unemployment are well-founded. We continue with an analysis of economic policies to deal with advanced AI. Finally, we evaluate the potential for transformative progress in AI to lead to significant disruptions and study the problem of how humans can control highly intelligent AI algorithms.
