How should the advent 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
,
Rich Shiffrin
,
Samuel J. Gershman
,
Vencislav Popov
,
Emily M. Bender
,
Marco Marelli
,
Matthew Botvinick
,
Zeynep Akata
,
Eric Schulz
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31219/osf.io/yr9xb
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31219/osf.io/yr9xb
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 advent 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 over-hyped, 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
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31219/osf.io/yr9xb
- https://osf.io/yr9xb/download
- OA Status
- gold
- Cited By
- 4
- References
- 70
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389395901
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389395901Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31219/osf.io/yr9xbDigital Object Identifier
- Title
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How should the advent of large language models affect the practice of science?Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-05Full 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, Rich Shiffrin, Samuel J. Gershman, Vencislav Popov, Emily M. Bender, Marco Marelli, Matthew Botvinick, Zeynep Akata, Eric SchulzList of authors in order
- Landing page
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https://doi.org/10.31219/osf.io/yr9xbPublisher landing page
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https://osf.io/yr9xb/downloadDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://osf.io/yr9xb/downloadDirect OA link when available
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Argument (complex analysis), Affect (linguistics), Conversation, Unintended consequences, Engineering ethics, Political science, Psychology, Epistemology, Public relations, Sociology, Engineering, Chemistry, Law, Philosophy, Biochemistry, CommunicationTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2024: 3Per-year citation counts (last 5 years)
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70Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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