The governance of artificial intelligence: Harnessing opportunities and mitigating challenges
The governance of artificial intelligence: Harnessing opportunities and mitigating challenges
复制标题
人工智能治理:利用机遇并应对挑战
DOI:
10.1016/j.respol.2023.104928
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发表时间:
2024
期刊:
影响因子:
7.2
通讯作者:
Goos M
中科院分区:
文献类型:
--
作者:
Goos M
The OECD defines an AI (Artificial Intelligence) system as “a machine-based system that can influence the environment by producing an output (predictions, recommendations, or decisions) for a given set of objectives. It uses machine and/or human-based data and inputs to (i) perceive real and/or virtual environments;(ii) insert these perceptions into models through analysis in an automated manner (eg, with machine learning), or manually; and (iii) use model inference to formulate options for outcomes. AI systems are designed to operate with varying levels of autonomy”(OECD, 2019a).This definition relates AI to the type of technology that has created the recent excitement around technological progress: machine learning. Machine learning is a branch of computational statistics that focuses on designing algorithms to make predictions from new data without explicitly programming the solution. Since 2012, the use of machine learning as a prediction technology has grown substantially. Machine learning is now commonplace: Pandora learns how to make better music recommendations based on its users' preferences; Google learns how to automatically translate content into different languages based on translated documents found online; and Facebook learns how to identify people in photos based on its database of known users.
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影响因子:
7.2
作者:
E. Fumagalli;S. Rezaei;A. Salomons
通讯作者:
A. Salomons
DOI:
10.2139/ssrn.4282509
发表时间:
2022-11
期刊:
SSRN Electronic Journal
影响因子:
--
作者:
D. Acemoglu;Gary Anderson;David N. Beede;Catherine D. Buffington;Eric Childress;Emin M. Dinlersoz;L. Foster;Nathan Goldschlag;J. Haltiwanger;Zachary Kroff;P. Restrepo;Nikolas J. Zolas
通讯作者:
D. Acemoglu;Gary Anderson;David N. Beede;Catherine D. Buffington;Eric Childress;Emin M. Dinlersoz;L. Foster;Nathan Goldschlag;J. Haltiwanger;Zachary Kroff;P. Restrepo;Nikolas J. Zolas
DOI:
--
发表时间:
2023
期刊:
OECD Science, Technology and Industry Working Papers
影响因子:
--
作者:
A. Urade;V. Deshpande
通讯作者:
V. Deshpande
影响因子:
7.2
作者:
Steven Rolf;J. O’Reilly;M. Meryon
通讯作者:
M. Meryon
DOI:
10.3386/w29247
发表时间:
2021
期刊:
SSRN Electronic Journal
影响因子:
--
作者:
D. Acemoglu
通讯作者:
D. Acemoglu