Computers and chess masters: The role of AI in transforming elite human performance.
Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess player...
| Publicado en: | British Journal of Psychology Vol. 117; no. 2; pp. 585 - 610 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Wiley-Blackwell
May2026
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192785885&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192785885 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00071269 BJP jtl: British Journal of Psychology issn: 00071269 maglogo: Y pubinfo: dt: May2026 vid: 117 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 192785885 10.1111/bjop.12750 ppf: 585 ppct: 25 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 3.2MB tig: atl: Computers and chess masters: The role of AI in transforming elite human performance. aug: au: Bilalić, Merim Graf, Mario Vaci, Nemanja affil: Northumbria University at Newcastle, Newcastle, UK Alps Adria University, Klagenfurt, Austria University of Sheffield, Sheffield, UK su: Internet access Artificial intelligence Decision making Age distribution Games Cognition Probability theory Descriptive statistics Longitudinal method Deep learning Data analysis software Time Regression analysis sug: subj: Internet access Artificial intelligence Decision making Age distribution Games Cognition Doll, Toy, and Game Manufacturing Hobby, Toy, and Game Stores Toy and Hobby Goods and Supplies Merchant Wholesalers Probability theory Descriptive statistics Longitudinal method Deep learning Data analysis software Time Regression analysis keyword: AI Bayesian analysis generalized additive models (GAM) longitudinal study multiple change point (MCP) AI Bayesian analysis generalized additive models (GAM) longitudinal study multiple change point (MCP) ab: Advances in Artificial Intelligence (AI) have made significant strides in recent years, often supplementing rather than replacing human performance. The extent of their assistance at the highest levels of human performance remains unclear. We analyse over 11.6 million decisions of elite chess players, a domain commonly used as a testbed for AI and psychology due to its complexity and objective assessment. We investigated the impact of two AI chess revolutions: the first in the late 1990s with the rise of powerful PCs and internet access and the second in the late 2010s with deep learning‐powered chess engines. The rate of human improvement mirrored AI advancements, but contrary to expectations, the quality of decisions mostly improved steadily over four decades, irrespective of age, with no distinct periods of rapid improvement. Only the youngest top players saw marked gains in the late 1990s, likely due to better access to knowledge and computers. Surprisingly, the recent wave of neural network‐powered engines has not significantly impacted the best players – at least, not yet. Our research highlights AI's potential to enhance human capability in complex tasks, given the right conditions, even among the most elite performers. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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