Research can help to tackle AI-generated disinformation

被引：0
|
作者：
Stefan Feuerriegel
Renée DiResta
Josh A. Goldstein
Srijan Kumar
Philipp Lorenz-Spreen
Michael Tomz
Nicolas Pröllochs
机构：
[1] LMU Munich,LMU Munich School of Management
[2] Munich Center for Machine Learning (MCML),Stanford Internet Observatory
[3] Stanford University,Center for Security and Emerging Technology
[4] Georgetown University,Center for Adaptive Rationality
[5] College of Computing at Georgia Institute of Technology,Department of Political Science
[6] Max Planck Institute for Human Development,Stanford Institute for Economic Policy Research
[7] Stanford University,Department of Business and Economics
[8] Stanford University,undefined
[9] JLU Giessen,undefined
来源：
Nature Human Behaviour | 2023年 / 7卷
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摘要：
Generative artificial intelligence (AI) tools have made it easy to create realistic disinformation that is hard to detect by humans and may undermine public trust. Some approaches used for assessing the reliability of online information may no longer work in the AI age. We offer suggestions for how research can help to tackle the threats of AI-generated disinformation.
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页码：1818 / 1821
页数：3
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