Signatories
The primary signatory list now lives on the homepage below the declaration text.
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Darren Strash ORCID Associate Professor, Hamilton College
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Fabio Bernasconi ORCID Professore associato, Sapienza – Università di Roma
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Daniele Turchetti ORCID Assistant Professor, Durham University
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Nolwenn Le Quellec ORCID PhD student, Université Gustave Eiffel
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Quentin Rible ORCID Laboratoire d’Analyse et de Mathématiques Appliquées, Université Paris-Est Créteil, France
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Jean-Guillaume Dumas ORCID Professor, Université Grenoble Alpes
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Henri Breloer ORCID PhD stipendiat, UiT The Arctic University of Norway
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Nidhi Kaihnsa ORCID University of Copenhagen
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Constantin Podelski ORCID Postdoc, TU Chemnitz
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Xianliang Hu ORCID Zhejiang university
Comment
Properly use AI to facilitate the research.
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Monika Zakrzewska verified email Graduate student & TA, Universität Bonn
Comment
I support the use of AI as a tool that assists mathematical work, but I am concerned by the prospect of outsourcing the creative and intellectual aspects of mathematics itself. For me, the value of mathematics lies not only in obtaining correct results but also in the human process of understanding, discovery, and communication. AI could be a great tool to extend human intellectual activity, but not to replace it; if we don't act now on regulating its usage, the efficiency of the output will be the only thing that matters, which would kill the beauty of mathematics as we know it.
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Giovanni Canestrari verified email University of Toronto
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Carlo Gasbarri verified email Université de Strasbourg
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Keerthi Madapusi ORCID Boston College
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David Fisac ORCID CNRS Postdoctoral Researcher, Université Paris-Est Créteil
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Danai Deligeorgaki ORCID Universitat de Barcelona
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Harun Kir ORCID ENS de LYON
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Bruno Klingler ORCID Professor, Humboldt-Universität zu Berlin
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Verónica Becher ORCID CONICET
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Carlos Florentino ORCID Full Professor, Faculdade Ciências, Universidade de Lisboa
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Chen BingKuan Student in Mathematics
Comment
As a math student looking to join research in the future, I hereby sign this declaration. I hope human mathematicians will be credited fairly and that math research do not become an antomated process running in the background of a privately owned ai facility.
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Ethan Harr verified email Purdue University
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Jordan Ellenberg ORCID University of Wisconsin-Madison
Comment
The declaration represents a clear statement of principles that I hope almost all mathematicians can join in endorsing. Many mathematicians, myself among them, are optimistic about the role artificial intelligence will play in mathematics research. But optimism is no reason to ignore potential negative consequences of these developments. Most importantly, we mustn't lose sight of our fundamental goal, which is to enlarge and enrich human understanding of the mathematical universe. Our community, over many hundreds of years of working together, has developed a rough consensus about what it is we are actually trying to do. We don't spend much time explicitly talking about these values; now is the time to do so.
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Rosalie Iemhoff ORCID Universiteit Utrecht
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Chirantan Chowdhury ORCID Post Doc TU Darmstadt
Comment
A must-need action at the right time.
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Andreas Vermeiren ORCID KU Leuven
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Jürgen Fuß ORCID Hagenberg Campus, University of Applied Sciences Upper Austria
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Dimitrios Konstantinidis ORCID PhD candidate, Aristotle University of Thessaloniki
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Frederic Rochon ORCID UQAM
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Flavia Bonomo ORCID Universidad de Buenos Aires
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Matt Larson ORCID Princeton University and Institute for Advanced Study
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Marc Lelarge ORCID Institut national de recherche en sciences et technologies du numérique
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Yeongrak Kim ORCID Pusan National University
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Renpeng Zheng ORCID PhD Pure Mathematics, University of Nottingham
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Antoine Etesse verified email Ecole Normale Supérieure de Lyon
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Dario Gasbarra ORCID University of Vaasa Department of Mathematics and Statistics
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Benson Farb ORCID Ann Gillian Sheldon Professor of Mathematics, University of Chicago
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Fabio Durastante ORCID Associate Professor, Università di Pisa
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Federico Caucci ORCID Sapienza University of Rome
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Hsueh-Yung Lin ORCID National Taiwan University
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Damiano Manzini Université Paris Cité
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Jill Pipher verified email Brown University
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Xianyu Hu verified email Technische Universität München
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Jared T White verified email Open University
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Guillaume PIGNON-YWANNE ORCID UMPA
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Claudio Onorati ORCID Tenure-track assistant professor, University of Calabria
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David Aspinall ORCID Professor, The University of Edinburgh
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Zixi Wang University of California, Santa Barbara
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Arnaud Beauville ORCID Université Côte d'Azur
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Carlos E. Ferro FCEyN, UBA (Argentina)
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Bart van schie ORCID Delft Food Science
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Roland Bauerschmidt ORCID Professor of Mathematics, New York University
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Manfred Sauter ORCID Lecturer, Ulm University
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Marco Fava ORCID Research fellow, University of Warwick
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Matteo Galbiati verified email University of Milan
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Tijs Buggenhout ORCID PhD student, KU Leuven
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Maria João Oliveira Universidade Aberta, Portugal
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Guillermo Gamarra Segovia
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PEDRO TRADACETE ORCID Instituto de Ciencias Matemáticas, Consejo Superior de Investigaciones Científicas
Comment
Given the current state of AI use in mathematics, with certain AI developers suggesting that mathematicians could be replaced, apparently with the sole aim of attracting public attention and raising funds, I feel an urgent need for the mathematical community to unite and give a clear response about what we believe mathematics should be and why we care about it. AI can certainly be a powerful tool, capable of assisting professional mathematicians and mathematics students with many tasks. But there are also serious risks that must be clearly identified and addressed if we are to avoid harming our community and our shared endeavor. This declaration is a fantastic step in that direction.
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Riccardo SALVATI MANNI ORCID Full Professor, Universita degli Studi di Roma La Sapienza
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Yunfeng Zhang verified email University of Cincinnati
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Matthias Schütt ORCID Leibniz University Hannover
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Andre Institut de mathématiques de Bordeaux
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Mathias Schacht ORCID Professor, Universität Hamburg
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Yifei Zhao ORCID University of Münster
Comment
Big AI is trying to monopolize math research. We cannot let this happen!
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ANGELO VISTOLI ORCID Full Professor, Scuola Normale Superiore
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Ning Ma verified email Postdoc at Purdue University
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Matthias Paulsen ÉNS Paris
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François Bouchut ORCID Directeur de Recherche, Centre National de la Recherche Scientifique
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Yusen Long ORCID LAMA, Université Paris-Est Créteil
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Damiano Testa ORCID Mathematics, University of Warwick
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Lorenzo De Biase ORCID Researcher, ENEA Bologna Research Centre
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Emma Hearnden verified email Canterbury Christ Church University
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Roger Picken ORCID Dept. of Mathematics; Instituto Superior Técnico, Lisbon (retired)
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Timothy Logvinenko ORCID Reader, Cardiff University
Comment
A well-thought declaration coming at the right time.
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Hannah Dell ORCID Postdoctoral Researcher, University of Bonn
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John McCleary ORCID Professor of Mathematics, Vassar College
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Giuseppe Lamberti ORCID ATER, Université de Bordeaux
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Francesco Sorce verified email University of Pisa
Comment
I am about to start a PhD position. I fear that the rampant use of AI might hinder me in acquiring and consolidating the skills needed for research. For example I will probably need to spend more time worrying about the correctness (mathematical or otherwise) of preprints (if not articles) instead of understanding the mathematics itself. As a developing researcher I dead the thought of studying deeply and carefully a paper only to realize suddenly (hopefully by myself) that the result was just plausible but nonsense. This seems like a waste of time and resources that would be better spent learning and doing actual mathematics. On top of this, the already competitive and precarious position researchers are put in will become even more unwelcoming soon unless the use of AI becomes severely moderated and/or massively democratized (as in, the most powerful models cannot be accessible only to the richest institutions). I also fear that AI will accelerate the already real and saddening trend where mathematics is become more and more slave to monetary interests. Positions dedicated to the development of and research in AI already are massively overrepresented compared to other fields in mathematics.
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Thomas Richard verified email Université Paris Est Créteil
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Florian Schreier-Aigner ORCID University of Vienna
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Andreas Rößler ORCID Professor, Universität zu Lübeck
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Aurélien Faucher ORCID PhD Student, Université de Lorraine
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Maxence Azzouz-Thuderoz ORCID Scientist, FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
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Alex Hof ORCID Alfréd Rényi Institute of Mathematics
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Julian Feuerpfeil ORCID PhD-student, UniMiB and UMLP
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Maria Alberich-Carramiñana ORCID Full Professor, Universitat Politècnica de Catalunya
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Michele Bolognesi ORCID Université Grenoble Alpes
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Benjamin Smith ORCID Inria and École polytechnique
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Aida Maraj Max Planck Institute of Molecular Cell Biology and Genetics
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Yanyang Li ORCID Southeast University
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Guadalupe Cabañas-Sánchez ORCID Profesora-Investigadora, Universidad Autónoma de Guerrero
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David Constantine ORCID Associate Professor, Wesleyan University
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Dr Colin D Wright Maths Communicator
Comment
We can all see the potential harms, and potential benefits that the emerging technology provides and promises. I believe this document provides an excellent balance of proposals for minimising the harms and maximising the benefits.
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Keti Tenenblat ORCID Professor emeritus, Universidade de Brasilia
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Théo Belin ORCID Postdoctoral researcher, Lund University
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Zipeng Wang Westlake University
Comment
We never, never, never surrender our free will to AI.
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Francesca Tombari ORCID KTH Royal Institute of Technology
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Valentin Deaconu verified email University of Nevada, Reno
Comment
I reject AI as none of its advantages outweigh the harm. The huge ecological impact it has as we are experiencing an unprecedented world wide climate crisis. The exploitation of poor worker needed to label the training data and the catastrophic impact on their mental health. The absence of respect of consent ingrained in its operation through mass stealing of data. The bias it cannot escape from being trained on our biased history. It is a machine that blur truth and reality, cosplaying as something reliable while being harder and harder to check. Meanwhile, nothing AI can offer I cannot do myself with a little bit of time and learning. Ask yourself "What is a little bit of time and learning against the cost AI has ?" and if time is such an issue, ask yourself "Why ?", because AI is not the solution to this issue. As presented in the Leiden Declaration, the Mathematical world is not immune to the impact of AI. Some of us are part of its developing process so there is a certain responsibility we have to have toward it. There would still be so much more to talk about but I will end with a very concrete simple last question: "How can we blame our students to cheat using AI when sometime their own professor use it to create their test ?"