Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Brooks Hanson; Shelley Stall; Joel Cutcher-Gershenfeld; Kristina Vrouwenvelder; Christopher Wirz; Yuhan (Douglas) Rao; Ge Peng

doi:10.1038/d41586-023-03316-8

Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Brooks Hanson
, Shelley Stall
, Joel Cutcher-Gershenfeld
, Kristina Vrouwenvelder
, Christopher Wirz
, Yuhan (Douglas) Rao
, Ge Peng

Prediction, Assimilation & Risk Communication

Research output: Contribution to journal › Comment/debate

40 Scopus citations

Abstract

Artificial-intelligence tools are transforming data-driven science — better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust.

Original language	English
Pages (from-to)	28-31
Number of pages	4
Journal	Nature
Volume	623
Issue number	7985
DOIs	https://doi.org/10.1038/d41586-023-03316-8
State	Published - Nov 2 2023

Keywords

Computer science
Policy
Technology

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10.1038/d41586-023-03316-8

Cite this

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title = "Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research",

abstract = "Artificial-intelligence tools are transforming data-driven science — better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust.",

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author = "Brooks Hanson and Shelley Stall and Joel Cutcher-Gershenfeld and Kristina Vrouwenvelder and Christopher Wirz and Rao, \{Yuhan (Douglas)\} and Ge Peng",

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T2 - mitigating risks and maximizing benefits of AI in research

AU - Hanson, Brooks

AU - Stall, Shelley

AU - Cutcher-Gershenfeld, Joel

AU - Vrouwenvelder, Kristina

AU - Wirz, Christopher

AU - Rao, Yuhan (Douglas)

AU - Peng, Ge

PY - 2023/11/2

Y1 - 2023/11/2

N2 - Artificial-intelligence tools are transforming data-driven science — better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust.

AB - Artificial-intelligence tools are transforming data-driven science — better ethical standards and more robust data curation are needed to fuel the boom and prevent a bust.

KW - Computer science

KW - Policy

KW - Technology

UR - https://www.scopus.com/pages/publications/85175732954

U2 - 10.1038/d41586-023-03316-8

DO - 10.1038/d41586-023-03316-8

M3 - Comment/debate

C2 - 37907636

AN - SCOPUS:85175732954

SN - 0028-0836

VL - 623

SP - 28

EP - 31

JO - Nature

JF - Nature

IS - 7985

ER -

Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research

Abstract

Keywords

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