Prediction markets as meta‐episteme: Artificial intelligence, forecasting tournaments, prediction markets, and economic growth

Ryan H. Murphy

American Journal of Economics and Sociology, 2024, vol. 83, issue 2, 383-392

Abstract: This paper presents a speculative framework suggesting that prediction markets (or its epistemic cousins such as artificial intelligence or forecasting tournaments) may constitute a break in the expansion of human knowledge in a manner similar to the impact of the Scientific and Industrial Revolutions. Just as the scientific understanding of the natural world facilitated the development of useful technologies to move far faster than what is allowed by blind evolution and tinkering, tools such as prediction markets allow for scientific knowledge to move faster than its current evolutionary process. The intellectual bases for these tools, such as the interpretation of probabilities as bets, are relatively recent additions to human knowledge, which may have significant implications for how we evaluate past thinkers, versus what is now possible or may be possible in the future.

Date: 2024
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