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Title
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Author
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Year
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More Than Money: Correlation Among Worker Demographics, Motivations, and Participation in Online Labor Market
Demographic factors such as age, gender, education and income sources explain participation in online labor markets such as Amazon’s Mechanical Turk. Men and women feel equal pressure to earn money, but schedule work differently.
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Mary L. Gray, Siddharth Suri, Wei-Chu Chen |
2019 |
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Intellectual Property Rights and Innovation: Evidence from the Human Genome
Intellectual property (IP) is intended to encourage innovation. For two years, Celera held exclusive IP rights to data about some human genes. During this time, other firms reduced research and development (R&D) related to these genes from 20-30%. These effects persisted for years after.
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Heidi Williams |
2019 |
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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 |