The Economics of AI
Explore advanced AI's impact on economic growth, labor markets, and policy. Analyze AI-driven changes and future economic scenarios.
Explore advanced AI's impact on economic growth, labor markets, and policy. Analyze AI-driven changes and future economic scenarios.
This advanced course examines the economic implications of artificial intelligence, covering cutting-edge research on AI's effects on economic growth and labor markets. It begins with an analysis of intelligence and information theory, then explores how AI affects production, technological change, and economic growth. The curriculum covers various scenarios, including potential growth singularities. Students will study AI's impact on labor markets, addressing concerns about technological unemployment and inequality. The course also delves into economic policies for managing AI advancements, including strategies for steering technological progress. Advanced topics include modeling economies with non-human agents and the AI control problem. This course is designed for those with a strong background in economics, offering a rigorous analysis of how AI will shape our economic future.
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What you'll learn
Understand the nature of intelligence and its economic implications
Analyze how AI affects production processes and technological change
Evaluate AI's impact on economic growth, including singularity scenarios
Assess the effects of AI on labor markets and inequality
Develop economic policy responses to AI-driven challenges
Explore models of economies with non-human intelligent agents
Skills you'll gain
This course includes:
11.1 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides an in-depth analysis of how advanced artificial intelligence will affect our economy and society. It covers a range of topics from the nature of intelligence to economic growth models, labor market impacts, and policy implications of AI. The curriculum is structured to progress from foundational concepts to advanced economic models and futuristic scenarios. Key areas include modeling technological progress, AI-driven economic growth scenarios, labor market transformations, economic policy responses to AI, and the economics of transformative AI. The course emphasizes analytical rigor and applies economic theory to understand and predict the profound changes AI may bring to our economic systems.
What is Intelligence?
Module 1 · 5 Hours to complete
Modeling Technological Progress
Module 2 · 4 Hours to complete
AI and Economic Growth
Module 3 · 5 Hours to complete
Labor Markets and Inequality
Module 4 · 4 Hours to complete
Economic Policy in the Age of AI
Module 5 · 4 Hours to complete
The Economics of Transformative AI
Module 6 · 3 Hours to complete
Fee Structure
Instructor
Leading Expert in Macroeconomics and AI Impacts
Anton Korinek is a Professor at the University of Virginia in the Department of Economics and the Darden School of Business. He also holds several prestigious positions, including David M. Rubenstein Fellow at the Brookings Institution, Economics Lead at the Centre for the Governance of AI, and Research Associate at both the National Bureau of Economic Research (NBER) and the Centre for Economic Policy Research (CEPR). Korinek earned his PhD from Columbia University in 2007 after gaining extensive experience in the IT and financial sectors. His research focuses on macroeconomics, international finance, and inequality, with recent work examining the impacts of automation and artificial intelligence on macroeconomic dynamics and social inequality. He also studies capital controls and macroprudential regulation as tools to mitigate financial crises, exploring their global spillover effects and implications for income distribution.
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4.5 course rating
28 ratings
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