Summary of Artificial Intelligence, Rationalization, and the Limits Of Control in the Public Sector: the Case Of Tax Policy Optimization, by Jakob Mokander and Ralph Schroeder
Artificial intelligence, rationalization, and the limits of control in the public sector: the case of tax policy optimization
by Jakob Mokander, Ralph Schroeder
First submitted to arxiv on: 7 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A machine learning paper explores the implications of using artificial intelligence (AI) in the public sector, examining how AI-driven policy optimization can advance specific normative ends, such as reducing economic inequality. The authors introduce a thought experiment where AI systems optimize tax policy for social and economic equality, demonstrating that this is possible. However, they also highlight the limitations and potential negative consequences of relying on AI-driven policy optimization, including its exclusion of competing political values, override of citizens’ noninstrumental obligations, and undermining of humans as self-determining beings. The paper argues that ensuring AI systems are legal, ethical, and safe requires a nuanced understanding of the complex relationships between AI, politics, and society. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI is being used in government to make decisions more efficient and effective. Some people think this is a good thing because it can help solve problems like poverty and inequality. But others are worried that AI will take away our freedom and ability to make choices. The authors of this paper looked at how AI can be used to optimize tax policy, which is the way governments collect money from citizens. They showed that AI can be used to make tax policy more fair and equal. However, they also said that using AI in this way has some big downsides. For example, it can override our values and principles, and it can make us think of ourselves only as machines, not as human beings. |
Keywords
» Artificial intelligence » Machine learning » Optimization
