How should the advancement of large language models affect the practice of science? Article Swipe
Marcel Binz
,
Stephan Alaniz
,
Adina L. Roskies
,
Balázs Aczél
,
Carl T. Bergstrom
,
Colin Allen
,
Daniel J. Schad
,
Dirk U. Wulff
,
Jevin D. West
,
Qiong Zhang
,
Richard M. Shiffrin
,
Samuel J. Gershman
,
Vencislav Popov
,
Emily M. Bender
,
Marco Marelli
,
Matthew Botvinick
,
Zeynep Akata
,
Eric Schulz
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1073/pnas.2401227121
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1073/pnas.2401227121
Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advancement of large language models affect the practice of science? For this opinion piece, we have invited four diverse groups of scientists to reflect on this query, sharing their perspectives and engaging in debate. Schulz et al. make the argument that working with LLMs is not fundamentally different from working with human collaborators, while Bender et al. argue that LLMs are often misused and overhyped, and that their limitations warrant a focus on more specialized, easily interpretable tools. Marelli et al. emphasize the importance of transparent attribution and responsible use of LLMs. Finally, Botvinick and Gershman advocate that humans should retain responsibility for determining the scientific roadmap. To facilitate the discussion, the four perspectives are complemented with a response from each group. By putting these different perspectives in conversation, we aim to bring attention to important considerations within the academic community regarding the adoption of LLMs and their impact on both current and future scientific practices.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1073/pnas.2401227121
- OA Status
- hybrid
- Cited By
- 26
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406855515
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406855515Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1073/pnas.2401227121Digital Object Identifier
- Title
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How should the advancement of large language models affect the practice of science?Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-27Full publication date if available
- Authors
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Marcel Binz, Stephan Alaniz, Adina L. Roskies, Balázs Aczél, Carl T. Bergstrom, Colin Allen, Daniel J. Schad, Dirk U. Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Vencislav Popov, Emily M. Bender, Marco Marelli, Matthew Botvinick, Zeynep Akata, Eric SchulzList of authors in order
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https://doi.org/10.1073/pnas.2401227121Publisher landing page
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1073/pnas.2401227121Direct OA link when available
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Argument (complex analysis), Affect (linguistics), Conversation, Unintended consequences, Engineering ethics, Psychology, Political science, Public relations, Sociology, Epistemology, Engineering, Medicine, Law, Communication, Philosophy, Internal medicineTop concepts (fields/topics) attached by OpenAlex
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26Total citation count in OpenAlex
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2025: 26Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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