AI chatbots contribute to global conservation injustices
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DOI: 10.1057/s41599-024-02720-3
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- Forrest Fleischman & Eric Coleman & Harry Fischer & Prakash Kashwan & Marion Pfeifer & Vijay Ramprasad & Claudia Rodriguez Solorzano & Joseph W. Veldman, 2022. "Restoration prioritization must be informed by marginalized people," Nature, Nature, vol. 607(7918), pages 5-6, July.
- Roberta Kwok, 2019. "AI empowers conservation biology," Nature, Nature, vol. 567(7746), pages 133-134, March.
- Miryam Naddaf, 2023. "ChatGPT generates fake data set to support scientific hypothesis," Nature, Nature, vol. 623(7989), pages 895-896, November.
- Rebecca K. Runting & Stuart Phinn & Zunyi Xie & Oscar Venter & James E. M. Watson, 2020. "Opportunities for big data in conservation and sustainability," Nature Communications, Nature, vol. 11(1), pages 1-4, December.
- Andrea Gaggioli, 2023. "Ethics: disclose use of AI in scientific manuscripts," Nature, Nature, vol. 614(7948), pages 413-413, February.
- M. Hino & E. Benami & N. Brooks, 2018. "Machine learning for environmental monitoring," Nature Sustainability, Nature, vol. 1(10), pages 583-588, October.
- Lynn H. Kaack & Priya L. Donti & Emma Strubell & George Kamiya & Felix Creutzig & David Rolnick, 2022. "Aligning artificial intelligence with climate change mitigation," Nature Climate Change, Nature, vol. 12(6), pages 518-527, June.
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