论文标题

预测AI进度:机器学习研究人员调查的证据

Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers

论文作者

Zhang, Baobao, Dreksler, Noemi, Anderljung, Markus, Kahn, Lauren, Giattino, Charlie, Dafoe, Allan, Horowitz, Michael C.

论文摘要

人工智能(AI)的进步正在塑造现代生活,从运输,医疗保健,科学,金融到国防。 AI开发的预测可以帮助改善政策和决策。我们报告了对AI和机器学习(ML)研究人员对AI进展的信念的大规模调查的结果。该调查于2019年底进行了调查,引起了对近期AI开发里程碑和高或人级机器智能的预测,定义为机器能够完成人类当前能够完成的每个或几乎所有任务。作为这项研究的一部分,我们重新接触了Grace等人的一项引用研究的受访者。 (2018年),AI/ML研究人员对AI开发中的高级机器智能和近期里程碑进行了预测。我们2019年调查的结果表明,总体而言,接受调查的AI/ML研究人员在2060年实现了50%的人级机器智能的可能性。结果表明,2019年与Grace等人的受访者相似,2019年与研究人员进行了类似的信念。 (2018)调查。对于来自Grace等人的重新连接的参与者。 (2018年)研究,对于50%高级机器智能可能性的总预测从2062年转移到2076年,尽管这种变化在统计上并不显着,这可能是由于我们面板样本的尺寸很小。对几个近期AI里程碑的预测有所减少,这表明对AI的进步更加乐观。最后,AI/ML研究人员对人类水平的机器智能将如何影响社会表现出很大的乐观。

Advances in artificial intelligence (AI) are shaping modern life, from transportation, health care, science, finance, to national defense. Forecasts of AI development could help improve policy- and decision-making. We report the results from a large survey of AI and machine learning (ML) researchers on their beliefs about progress in AI. The survey, fielded in late 2019, elicited forecasts for near-term AI development milestones and high- or human-level machine intelligence, defined as when machines are able to accomplish every or almost every task humans are able to do currently. As part of this study, we re-contacted respondents from a highly-cited study by Grace et al. (2018), in which AI/ML researchers gave forecasts about high-level machine intelligence and near-term milestones in AI development. Results from our 2019 survey show that, in aggregate, AI/ML researchers surveyed placed a 50% likelihood of human-level machine intelligence being achieved by 2060. The results show researchers newly contacted in 2019 expressed similar beliefs about the progress of advanced AI as respondents in the Grace et al. (2018) survey. For the recontacted participants from the Grace et al. (2018) study, the aggregate forecast for a 50% likelihood of high-level machine intelligence shifted from 2062 to 2076, although this change is not statistically significant, likely due to the small size of our panel sample. Forecasts of several near-term AI milestones have reduced in time, suggesting more optimism about AI progress. Finally, AI/ML researchers also exhibited significant optimism about how human-level machine intelligence will impact society.

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