TY - JOUR
T1 - Viewpoint
T2 - When will ai exceed human performance? Evidence from ai experts
AU - Grace, Katja
AU - Salvatier, John
AU - Dafoe, Allan
AU - Zhang, Baobao
AU - Evans, Owain
N1 - Publisher Copyright:
© 2018 AI Access Foundation. All rights reserved.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Advances in artificial intelligence (AI) will transform modern life by reshaping transportation, health, science, finance, and the military. To adapt public policy, we need to better anticipate these advances. Here we report the results from a large survey of machine learning researchers on their beliefs about progress in AI. Researchers predict AI will outperform humans in many activities in the next ten years, such as translating languages (by 2024), writing high-school essays (by 2026), driving a truck (by 2027), working in retail (by 2031), writing a bestselling book (by 2049), and working as a surgeon (by 2053). Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years, with Asian respondents expecting these dates much sooner than North Americans. These results will inform discussion amongst researchers and policymakers about anticipating and managing trends in AI.
AB - Advances in artificial intelligence (AI) will transform modern life by reshaping transportation, health, science, finance, and the military. To adapt public policy, we need to better anticipate these advances. Here we report the results from a large survey of machine learning researchers on their beliefs about progress in AI. Researchers predict AI will outperform humans in many activities in the next ten years, such as translating languages (by 2024), writing high-school essays (by 2026), driving a truck (by 2027), working in retail (by 2031), writing a bestselling book (by 2049), and working as a surgeon (by 2053). Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years, with Asian respondents expecting these dates much sooner than North Americans. These results will inform discussion amongst researchers and policymakers about anticipating and managing trends in AI.
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U2 - 10.1613/jair.1.11222
DO - 10.1613/jair.1.11222
M3 - Review article
AN - SCOPUS:85052837104
SN - 1076-9757
VL - 62
SP - 729
EP - 754
JO - Journal of Artificial Intelligence Research
JF - Journal of Artificial Intelligence Research
ER -