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arXiv:1901.08579cs.CY

Forecasting Transformative AI: An Expert Survey

Ross Gruetzemacher, David Paradice, Kang Bok Lee

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Abstract

Transformative AI technologies have the potential to reshape critical aspects of society in the near future. However, in order to properly prepare policy initiatives for the arrival of such technologies accurate forecasts and timelines are necessary. A survey was administered to attendees of three AI conferences during the summer of 2018 (ICML, IJCAI and the HLAI conference). The survey included questions for estimating AI capabilities over the next decade, questions for forecasting five scenarios of transformative AI and questions concerning the impact of computational resources in AI research. Respondents indicated a median of 21.5% of human tasks (i.e., all tasks that humans are currently paid to do) can be feasibly automated now, and that this figure would rise to 40% in 5 years and 60% in 10 years. Median forecasts indicated a 50% probability of AI systems being capable of automating 90% of current human tasks in 25 years and 99% of current human tasks in 50 years. The conference of attendance was found to have a statistically significant impact on all forecasts, with attendees of HLAI providing more optimistic timelines with less uncertainty. These findings suggest that AI experts expect major advances in AI technology to continue over the next decade to a degree that will likely have profound transformative impacts on society.

arXiv comments
11 pages, 4 figures, 2 tables
Journal reference
DOI
Subjects
cs.CYComputers and Society cs.AIArtificial Intelligence

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  1. AI is different 1 comment
    • What are you talking about? This is common knowledge. Median forecasts indicated a 50% probability of AI systems being capable of automating 90% of current human tasks in 25 years and 99% of current human tasks in 50 years[1] The scope of work replaceable by embodied AGI and the…

      kelseyfrogView on HNParent context

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