The Microeconomics of Artificial Intelligence (True EPUB) | 16.16 MB
Title: The Microeconomics of Artificial Intelligence
Author: Joshua Gans
Category: Business & Finance, Economics, Microeconomics, Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Social & Cultural Studies, Political Science, Politics, Economic Policy
Language: English | 434 Pages | ISBN: 9780262384971
Description:
A comprehensive treatment of the microeconomics associated with the adoption and use of artificial intelligence.
It is well-recognized that recent advances in AI are exclusively advances in statistical techniques for prediction. While this may facilitate automation, this result is secondary to AI’s impact on decision-making. From an economics perspective, predictions have their first-order impacts on the efficiency of decision-making.
In The Microeconomics of Artificial Intelligence, Joshua Gans examines AI as prediction that enhances and perhaps enables decision-making, focusing on the impacts that arise within firms or industries rather than broad economy-wide impacts on employment and productivity. He analyzes what the supply and production characteristics of AI are and what the drivers of the demand for AI prediction are. Putting these together, he explores how supply and demand conditions lead to a price for predictions and how this price is shaped…
A comprehensive treatment of the microeconomics associated with the adoption and use of artificial intelligence.
It is well-recognized that recent advances in AI are exclusively advances in statistical techniques for prediction. While this may facilitate automation, this result is secondary to AI’s impact on decision-making. From an economics perspective, predictions have their first-order impacts on the efficiency of decision-making.
In The Microeconomics of Artificial Intelligence, Joshua Gans examines AI as prediction that enhances and perhaps enables decision-making, focusing on the impacts that arise within firms or industries rather than broad economy-wide impacts on employment and productivity. He analyzes what the supply and production characteristics of AI are and what the drivers of the demand for AI prediction are. Putting these together, he explores how supply and demand conditions lead to a price for predictions and how this price is shaped…
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