DadgogoAI Dictionary

Dictionary entry

AI R&D automation

noun \ˌā-ˈī ˌär-ən-ˈdē ˌȯ-tə-ˈmā-shən\

also automation of AI R&D or AIRDA

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Definition of AI R&D automation

  1. : the use of AI systems to perform parts of artificial-intelligence research and development, such as reading papers, proposing ideas, writing code, running experiments, evaluating results, and improving models

    • The lab measures AI R&D automation by tracking how much experiment work its agents complete without human help.
    • AI R&D automation can accelerate model development even when people still choose the research goals.

Origin & history

first known use2026

AI systems had assisted researchers for years, but 'AI R&D automation' became a formal measurement and policy category in 2026 as researchers proposed metrics for how much of the AI-development pipeline agents could perform and frontier labs reported growing internal use of coding and research agents.

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Cite this entry

"AI R&D automation." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/ai-rd-automation/. Accessed 4 Oct. 2026.

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