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Prévisions et analyse de scénarios pour l'intelligence générale artificielle
The authors synthesize diverse artificial general intelligence forecasting methodologies to help decisionmakers navigate uncertainty about both the timing and nature of advanced artificial intelligence capabilities
Articles sources
RAND Corporation (United States) | Mar 24, 2026
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Investing in advanced AI forecasting methodologies is essential for proactive governance and mitigating risks associated with artificial general intelligence.
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Overemphasizing forecasting might divert attention from immediate AI safety issues, risking neglect of current challenges in AI deployment.
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The development of AGI should prioritize ethical considerations, and forecasting can help identify potential societal impacts before they arise.
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The unpredictability of artificial general intelligence makes extensive forecasting efforts a futile exercise that could lead to misguided policies.
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While forecasting AI capabilities can provide valuable insights, it is crucial to remain adaptable to the rapidly changing technological landscape.
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