'AI' Could Lead to a Rise in Research Slop
The rise of generative AI (genAI) may increase the risk of statistical abuse in research. Linear regression, a common statistical method, can be manipulated to falsely indicate causality. This manipulation, often referred to as 'p-hacking', poses a significant threat to the integrity of economic research.
- ▪Generative AI can make it easier to manipulate data and present false research findings.
- ▪Linear regression is a powerful tool used to establish causality in economic research.
- ▪Researchers may engage in 'p-hacking' to achieve statistically significant results by manipulating their data.
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How ‘AI’ Could Lead to a Rise in Research SlopGenAI may make statistical abuse much easier to implement.Nominal NewsMay 18, 2026811ShareNominal News is an economics newsletter written by a PhD Economist that translates the latest economic research into clear, policy‑relevant insights on current issues. Join 4,000 readers to stay-up-to-date with Nominal News directly in your inbox:Subscribe to Our NewsletterAt Nominal News, we often talk about economics research that establishes causality. For example, how do immigrants impact innovation or how do free trade agreements impact people’s incomes and life expectancy.
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