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Title
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Author
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Year
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AI and Jobs: The Role of Demand
In recent decades, technology increased productivity but reduced the number of manufacturing jobs. Historically, at times, jobs are gained when productivity improves. If automation increases the demand for a product, automation will increase the number of available jobs in that sector.
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James Bessen |
2019 |
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Public Policy in an AI Economy
Analysis of the impact of artificial intelligence (AI) technology emphasizes AI’s effect on jobs. AI systems are likely to displace workers slowly; if so, the overall effect of AI on jobs will be minimal. Some support the idea of a universal basic income to aid workers displaced from jobs by AI.
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Austan Goolsbee |
2019 |
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Artificial Intelligence, Economics, and Industrial Organization
Deployment of artificial Intelligence (AI) and machine learning (ML) systems will affect the size and choices of firms that provide or use AI services. Economists consider the effects of AI on pricing, firm size, competition, privacy, and security.
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Hal R. Varian |
2019 |
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Privacy, Algorithms, and Artificial Intelligence
Many economists assume that consumers understand how their data will be used and do not consider how one consumer’s decision to share data affects others. Some artificial intelligence (AI) systems seem to have learned discriminatory behavior, and simplistic models do not address this.
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Catherine Tucker |
2019 |
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The Impact of Machine Learning on Economics
Machine learning (ML) has begun to transform economics. ML systems can make it easy to classify large amounts of data. Empirical economists can use ML to develop new methodologies, ensure that others can reproduce their studies, and design more sophisticated studies.
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Susan Athey |
2019 |
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Artificial Intelligence, Automation, and Work
Automation tends to displace human workers, reducing wages by reducing the demand for labor. But automation also increases productivity and creates new-labor intensive tasks. Several factors constrain the labor market’s capacity to adjust, especially if automation proceeds too quickly.
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Daron Acemoglu, Pascual Restrepo |
2019 |
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Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass
Artificial intelligence (AI) systems often rely on human workers to classify content. The workers find tasks using on-demand labor platforms like Mechanical Turk, receiving low wages and no benefits; however, on-demand work platforms enable many disadvantaged workers to earn income.
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Mary L. Gray, Siddharth Suri |
2019 |
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Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics
Artificial intelligence (AI) is advancing rapidly, but productivity growth has been falling for a decade, and real income has stagnated. The most plausible explanation is that it will take considerable time for AI-related technologies to be deployed throughout the economy.
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Erik Brynjolfsson, Chad Syverson, Daniel Rock |
2019 |
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Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence
Artificial intelligence (AI) raises the possibility that machines will substitute for humans. AI improves the accuracy of predictions, but when a prediction cannot be made with absolute certainty, judgment is needed to choose the best course of action. Judgment can sometimes be automated.
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Joshua Gans, Ajay Agrawal, Avi Goldfarb |
2019 |
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Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security
"Deep fake" technology makes it possible to create audio and video files of real people saying and doing things they never said or did. These technologies create policy and legal problems. Possible responses include technological solutions, criminal and civil liability, and regulation.
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Danielle Citron, Robert Chesney |
2019 |