Exploring the methodologies and challenges involved in collecting data on AI researchers' opinions and predictions regarding high-level machine intelligence and full automation of labor. From framing questions to forming probability distributions, the chapter delves into the complex process of forecasting future technology phenomena. The speakers analyze a survey conducted on over 2,700 AI researchers, discussing distribution patterns, timing predictions, and the varying probabilities assigned to different scenarios.

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