ORCID: https://orcid.org/0000-0001-7856-8729; DiResta, Renée; Goldstein, Josh A. ORCID: https://orcid.org/0000-0003-2820-2977; Kumar, Srijan ORCID: https://orcid.org/0000-0002-5796-3532; Lorenz-Spreen, Philipp ORCID: https://orcid.org/0000-0001-6319-4154; Tomz, Michael und Pröllochs, Nicolas ORCID: https://orcid.org/0000-0002-1835-7302
(2023):
Research can help to tackle AI-generated disinformation.
In: Nature Human Behaviour, Vol. 7, No. 11: pp. 1818-1821
[PDF, 275kB]
Abstract
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.
| Item Type: | Journal article |
|---|---|
| Faculties: | Munich School of Management > Institute of Artificial Intelligence (AI) in Management |
| Subjects: | 000 Computer science, information and general works > 000 Computer science, knowledge, and systems |
| URN: | urn:nbn:de:bvb:19-epub-121821-7 |
| ISSN: | 2397-3374 |
| Language: | English |
| Item ID: | 121821 |
| Date Deposited: | 11. Oct 2024 18:59 |
| Last Modified: | 11. Oct 2024 18:59 |
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