Signatories
The primary signatory list now lives on the homepage below the declaration text.
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Sayan Mukherjee ORCID Project Assistant Professor, The University of Tokyo
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Roman Prosanov ORCID Postdoc, Autonomous University of Barcelona
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EMRE COSKUN ORCID Department of Mathematics, Middle East Technical University
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Samuel Chen ORCID Fuzhou Technology and Business University
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Sam Nelson verified email Claremont McKenna College
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Christopher Chukwuemeka ORCID Graduate student, University of Houston
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Henrik Ueberschär Sorbonne Université
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Connor Paddock ORCID Assistant Professor, University of Calgary
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Mathias Braun ORCID Bernoulli Instructor, EPFL
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Edward McDonald ORCID Humboldt Fellow, Universitat Bonn
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Raahim Hashmi Habib University
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Dr. Wibke Jürgensen University of Bremen, Germany
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Ylan Hernandez-Motte verified email Université d'Aix-Marseille
Comment
As a student starting my last year of graduate school i was very eager to learn beautiful mathematics that will shape the researcher i hope to become. However with the current raise in Ai assisted proof i fear that the mathematics i fell in love with (struggling on a hard problem, using my intuition to find a way and finally find a proof that i truly understand because it came from deep within me) will disappear. This declaration for me is important because i believe that we as human are entering a pivotal moment. If we let those ultra capitalistic billionaires have the control over intelligence then we will have truly lost everything. I weight my words here : we are experiencing the beginning of the end, and the people responsible for it are gaining even more money. To conclude, i say to everyone reading this, do not stop fighting, it is our own humanity on the line, something far more valuable than a 4000 pages incomprehensible lean verified proof of the Riemann hypothesis that no human ever will understand.
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Marco Gualtieri verified email University of Toronto
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Riccardo M. Monego ORCID Department of Computer Science, University College London
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Jeremy Lyle ORCID Associate Professor, Olivet Nazarene University
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Aleksander Doan verified email University College London
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Stefan Keppeler ORCID University of Tübingen
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Nikolaos Tsakanikas ORCID EPFL - École Polytechnique Fédérale de Lausanne
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Tanay Kibe ORCID Simons Postdoctoral fellow, Instituto Balseiro
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Zubeyr Barre ORCID Mathematics, Imperial College London
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Stefan Kunis ORCID Osnabrück University
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Changlong Zhong ORCID Associate Professor, State University of New York at Albany
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Conor Treacy verified email University of Queensland
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Eashan Iyer ORCID Undergraduate, Brown University
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Michel X Goemans ORCID Massachusetts Institute of Technology
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Christopher Creighton verified email University of Colorado Colorado Springs
Comment
Mathematics is a fundamentally human endeavor, one of curiosity and exploration, that must be preserved. What do I notice? What do I wonder?
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Tim Gebbie ORCID Associate Professor, University of Cape Town
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Graham Bertele ORCID Student, University of Virginia
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Elena-Alexandra Melnig ORCID Octav Mayer Institute of Mathematics and Al. I. Cuza University of Iasi, Romania
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Nazar Miheisi verified email King's College London, University of London
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Henrique Souza ORCID University of Manchester
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Sundara Narasimhan ORCID PhD student, Tata Institute of Fundamental Research
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Jean-Claude Sikorav ORCID ENS de Lyon, professor emeritus
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Ben Snodgrass ORCID PhD student, Albert-Ludwigs-Universität Freiburg
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Iryna Yehorchenko ORCID Senior Researcher, Institute of Mathematics
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Robert Fernholz ORCID CEO, Allocation Strategies, LLC
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Rebecca Morrison ORCID Assistant Professor, University of Colorado Boulder
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Carlos Arreche ORCID Associate Professor, The University of Texas at Dallas
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Joanne Bogart ORCID B.S., Stanford University, Ph.D., Cornell University
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Luis Aarón Patiño Palafox ORCID Profesor, Universidad Autónoma del Estado de México
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Jeanne Scott verified email Visiting Professor, University of Minnesota
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Damien Gaboriau ORCID "Researcher, École normale supérieure de Lyon, France"
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Christopher Wang ORCID PhD Candidate, Cornell University
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Ahmed Mehdi Inane ORCID PhD Student, Université de Montréal and Mila
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Dounia Shaaban Kabakibo ORCID PhD Student, Université de Montréal/Mila
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SeHwan Kim ORCID Applied Mathematics Ph.D Candidate, University of South Carolina
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Matias Relyea ORCID University of North Carolina at Chapel Hill
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Lorenzo Pigozzi ORCID Ph.D. Student, Institute of Science and Technology Austria
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Fernando Galaz-Fontes ORCID Centro de Investigación en Matemáticas (México), retired professor.
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Xingyu Xie ORCID PhD student, Max-Planck Institute for Security and Privacy
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Sasha Bontemps ORCID ENS Lyon
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Aaron Manning ORCID University of Oxford
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Stefan Neubert ORCID Hasso Plattner Institute, University of Potsdam
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Jessica Alessandrì ORCID Postdoc, Max Planck Institute for Mathematics
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Niklas Müller ORCID Collaborateur scientifique, EPFL
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Arli Aditya Parikesit ORCID Professor of Bioinformatics Streaming, i3L University
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Emanuele Pavia ORCID Post-Doc researcher, University of Luxembourg
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Marco Marengon ORCID Senior Research Fellow, Alfréd Rényi Institute of Mathematics
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Dora Klindžić ORCID Leiden Observatory, Delft University of Technology
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Andrea Volpi ORCID Assistant professor, University of Warsaw
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GIOVANNI MONGARDI ORCID Dipartimento di Matematica, Università degli Studi di Bologna
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Mark Pengitore ORCID Assistant Professor, IMPAN
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Wolfgang Ertel ORCID Ravensburg-Weingarten University of Applied Sciences
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Alessandro ANDRETTA ORCID Università di Torino, Italy
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Frédéric G. Speyser ORCID Mathematician - Combinatorics.
Comment
Not a rejection of these tools, but an ethical call to preserve verification, attribution, and human judgment as mathematics integrates AI tools. I support it on those terms.
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Marco Artusa ORCID Post-doctoral researcher, Aix-Marseille Université
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Jonathan Rohleder ORCID Stockholm University
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Pallav Goyal ORCID University of California, Riverside
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Pravit Shetty Shetty ORCID Undergraduate student, Ahmedabad University
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Daniel Mietchen ORCID Senior researcher, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
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QIUCHENG GONG ORCID
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David Zhiyuan Bai ORCID Yale University
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Antonio Del Donno verified email Charles University Prague
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Tatiana Toro ORCID Professor, University of Washington
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Emiliano Lancini ORCID Maître de conférences, Paris Dauphine University
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Leonardo Lovera M. Sc. Student, Universidad de Concepción
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Pantelimon Stanica ORCID Naval Postgraduate School
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Tasmin Chu ORCID California Institute of Technology
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Zhichao Zheng ORCID Associate Professor of Operations Management, Singapore Management University
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Vivek Akella ORCID The Ohio State University
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Xiangying Chen Postdoc, Ruhr-Universität Bochum
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Marco Manetti ORCID Università degli Studi di Roma La Sapienza
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Panayotis Mertikopoulos ORCID Research Director, Centre National de la Recherche Scientifique
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Syed Mujtaba Hassan ORCID Research Assistant, Habib University
Comment
Another big issue that we haven’t addressed is how these AI models and AI generated proofs are killing the spirit and beauty of mathematics. We don’t just want the proofs and solutions to these big standing problems what attracts is towards mathematics is the beauty of those proofs the journey each individual proof takes. These models are robbing us from that beauty and that journey. Mathematics inherently is a creative field and through this we are loosing that creativity. This all along side all the ethical and environmental issues these models bring. These models will not give us another Art Gallery problem, cause a machine that does not understand beauty cannot generate it.
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Bela Bollobas FRS verified email University of Cambridge
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Lukas Retschmeier ORCID Københavns Universitet
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William Da Silva ORCID University of Vienna
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Kuppusamy Ravindran ORCID Doctor of Philosophy, Kansas State University
Comment
I sign as someone who uses these systems in my own work, and because of that rather than in spite of it. I have watched a machine argument check out line by line and still fail to be the theorem its author meant: a proof can be verified while its statement is the wrong statement, and no certificate closes that gap for you. I do not read this Declaration as a wall against machines. I read it as the ordinary discipline of the subject, stated in good time. The goal of mathematics is human understanding, grounded in work that can be independently checked. Disclosure, real review of AI-assisted work, and credit to the human work on which a model builds are the terms on which that understanding survives contact with automation. I would add only what my own work keeps teaching me: checking must extend to the question no certificate can settle for its author, namely whether the formal claim means what the author says it means. Let the systems help. I use them, and I mean to go on using them. Keep the review, keep the attribution, and keep human understanding as the thing we are actually for. A convenient proof is worth little if no one is left who can say why it is true.
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Sundaram Thangavelu ORCID Indian Institute of Science
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Martin Ulirsch ORCID Paderborn University
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Aritra Sarkar ORCID Senior Researcher, Fujitsu Research India Private Limited
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Felipe Flores ORCID University of Virginia
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Jack kayser verified email Ohio State University - Columbus
Comment
I believe mathematics is one of humanity’s greatest shared achievements, and AI represents an opportunity to expand it rather than replace it. Open research, transparent methods, and reproducible results will be essential to ensuring that AI-driven discoveries strengthen trust in mathematics and remain accessible to future generation
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Michael Doerr CSULB
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David Cimasoni ORCID Senior Lecturer, University of Geneva
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Simon O'Connor ORCID Georgia Institute of Technology
Comment
We have an obligation to respond to this technology and its implications for our field and others, not with fear but with reason and genuine curiosity. We should always be concerned with what we might be losing or negatively impacting in exchange for technological progress and automation. Encouraging open discussion and genuine engagement with the development of AI will be necessary for the sake of mathematics and beyond
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Andreas Johannes Klein ORCID visitor, IHÉS
Comment
I think it is a pivotal moment for mankind to keep control over 'the ghosts that we once called'.
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Nestor Guillen ORCID Courant Institute of Mathematical Sciences
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Angelo Arvind Rajendram verified email University of Waterloo
Comment
Mathematics holds a similar value to the human experience as art does, even if sadly a majority of the population doesn't see it that way. The process that begins at encountering or conjuring an interesting thought, spending time and effort in pursuit of a satisfying conclusion, and then presenting said conclusion, if it was ever reached, in an elegant manner is no different than the process of making any other piece of art. To come across mathematics produced through this process is no different than coming across a masterpiece of any other artform. While math obviously holds practical value in helping us advance as a species and confront the ineffable complexity of the universe (and perhaps this separates it from other artforms and leads to the widespread misunderstanding of its value to the human experience), I believe that handing over the pure and cherished process of doing math to a machine will deprive many aspiring mathematicians of eventually engaging in the long-standing tradition of *humans doing math* and make it a foreign concept for all those that come after to be awestruck at the cleverness behind a contradiction, the ingenuity of a counterexample, or the diligence of a direct proof.