Signatories
The primary signatory list now lives on the homepage below the declaration text.
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Oissin O'Donnell ORCID PhD Student, University of Cambridge
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Luca Bonaventura ORCID Associate Professor, Politecnico di Milano
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Ibai Aedo verified email Public University of Navarre
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William Michael Farmer ORCID Professor, McMaster University
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Filippo Mayer verified email University of Roma "La Sapienza"
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Helena Martín-Cruz ORCID Universidad de Jaén
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Tristan Pang ORCID University of Oxford
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John Christopher Meyer ORCID Associate Professor, University of Birmingham
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Judith B. Rommel ORCID Baden-Wuerttemberg Cooperative State University
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Gabriel Szabo verified email Charles University Prague
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Ivo Dell'Ambrogio ORCID Université d'Artois
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Daigo Ito ORCID Columbia University
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Fabien Hoareau Université Paris Cité
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Kenneth Nordström verified email University of Helsinki
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Thijs de Kok ORCID PhD student, Radboud University Nijmegen
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Madeleine Udell ORCID Assistant Professor, Stanford University
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Maria Stella Adamo ORCID Kyoto University
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Alexander Duncan ORCID Associate Professor, University of South Carolina
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Yan Blyth ORCID PhD Student at IMPA
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Maxime Weytens verified email Université Libre de Bruxelles
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William Wylie ORCID Syracuse University
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Felix Lucka ORCID Centrum Wiskunde & Informatica
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Antonina P. Khramova ORCID Eindhoven University of Technology
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Anna Dall'Acqua ORCID Ulm University
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mariemi alonso ORCID Profesor Titular de Universidad, Universidad Complutense de Madrid
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Stefan Schreieder ORCID Leibniz University Hannover
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Nick Vannieuwenhoven ORCID Assistant Professor, KU Leuven
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Stefanie Sonner verified email Radboud University
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S Ramprasath verified email Indian Institute of Technology, Madras
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Sunitha Vadivel Murugan ORCID Professor, DAU (Formerly known as DA-IICT)
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Sean P. McGowan ORCID Adelaide University
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Valeriu Ungureanu ORCID Associate Professor, Moldova State University
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August Hedgcock verified email University of Glasgow
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Michael Alexander verified email McGill University
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Vasile Brinzanescu ORCID research professor (CS I), Institutul de Matematica Simion Stoilow
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Tri Do verified email University of North Texas
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Jan Giesselmann verified email Technische Universität Darmstadt
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Alex Thorne verified email University of Edinburgh
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Adrian Sescu ORCID Professor, Mississippi State University
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Jean Fasel ORCID Professor, Institut Fourier
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Davide Emilio Quadrellaro ORCID Technische Universität Wien
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Selçuk Topal ORCID Prof. Dr., İzmir Demokrasi Üniversitesi
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Anna Rodriguez Rasmussen ORCID Universität zu Köln
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Jens Vygen verified email University of Bonn
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Kuldeep Saha ORCID Assistant Professor, TCG CREST
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Arpan Dutta ORCID Assistant Professor, Indian Institute of Technology Bhubaneswar
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James Li ORCID Academic Tutor, The University of Sydney
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Thomas Renard Research Intern, Fakultät für Mathematik, Universität Bielefeld
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Antonio Marquina ORCID Applied Math Professor, University of Valencia
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Thomas Quella ORCID Senior Lecturer, University of Melbourne
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Paulo J. Azevedo ORCID PhD, Imperial College London
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Francisco Daniel Díaz González verified email University College London, University of London
Comment
The feature of creating a direct implementation in code of a mathematical text should be included in my opinion under the current declaration. Thus, a proposed formally stated algorithm or any Lean, Rocq or any other synthetic language translation of a mathematical text, including any computer programming language direct implementation, should be openly disclosed.
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Johannes Korbmacher ORCID Department of Philosophy and Religious Studies, Universiteit Utrecht
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Nero Budur ORCID
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Branko Juran verified email Rheinische Friedrich-Wilhelms Universität Bonn
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Michael Müger ORCID Radboud University, Nijmegen, The Netherlands
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Daniel Fadel ORCID Professor (Assistant), University of Sao Paulo
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Yaogan MENSAH ORCID Professor (Full), Université de Lomé
Comment
I love math because it is driven by deep human curiosity and the joy of truly understanding a problem. As AI enters our field, I want to make sure it remains a helpful partner that respects the hard work of real human thinkers. That is why I promise to always double-check computer answers and give credit where it belongs. By signing this, I am committing to keeping math honest, open to everyone, and beautifully human.
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Miles Simon ORCID Otto von Guericke University Magdeburg
Comment
In the last few months, AI capabilities in solving mathematical problems has greatly accelerated, causing me and other colleagues to reevaluate the dangers/benefits/etc. of AI. Others, like those involved in writing this declaration, foresaw quite some time ago the power of AI to drastically change our lives. The declaration addresses many of the dangers, benefits, etc. and presents good guidelines for dealing with AI. I consider it important (still!) to train graduates, undergraduates in mathematical thinking and problem solving without the use of AI, and will continue to do so. Despite this, I understand that AI will also play a large role in mathematical education, and young people will use it as a learning tool. At this stage, I conduct my research basically using old school methods: Pencil and paper, reading papers of others, thinking while walking around my room, the campus or in the park, ..., reading papers of others. However, I appreciate that AI can simplify many laborious tasks, for example checking if a supposed complicated algebraic inequality is correct, and AI will continue to be useful in this way. The ability for people to comprehend mathematics, clearly explain it, communicate it, ask the right questions, and solve mathematical problems is important, as is the ability to think things through without using AI at every step of the way.
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Max Peter Helmer ORCID Technische Universität Darmstadt
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Alisha Saenger ORCID Technische Universität Darmstadt
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Henk Don ORCID Radboud University Nijmegen
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Özge Sahin ORCID Delft University of Technology
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Joaquin Sanchez Garcia University of Toronto
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Arnold Reusken ORCID RWTH Aachen University
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Paul B. Larson ORCID Professor, Miami University
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Aria Halavati ORCID Postdoc Researcher, Bocconi University
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Niels Jakob Laustsen ORCID Professor, Lancaster University
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Norbert Heuer ORCID Professor, Pontificia Universidad Católica de Chile
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Abdelhak Hafdallah ORCID Associate Professor, Université Larbi Tébessi- Algeria
Comment
Mathematics is a human art and a creative human endeavor.
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Andrea Capozucca verified email University of Camerino
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Neeraj Kumar ORCID PhD Student, University of Porto
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Volker Remmert verified email Bergische Universität Wuppertal, Interdisciplinary Center for Science and Technology Studies
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Jonathan Wahl verified email University of North Carolina at Chapel Hill
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羅澤 ORCID Research Assistant, National Chengchi University
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Claudius Zibrowius ORCID W2 Professor, Ruhr University Bochum
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Marco Chino ORCID Associate Professor of General and Inorganic Chemistry (CHIM/03), Università degli Studi di Napoli Federico II
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Thomas Lemmin ORCID Assistant Professor, University of Bern
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Santos, Francisco ORCID Catedrático de Universidad (Matemáticas), Universidad de Cantabria
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Allen Li Trinity School
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Yusuke Isono ORCID 准教授 / Associate Professor, 京都大学 / Kyoto University
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Ahmed ZEGLAOUI ORCID Ecole Nationale Supérieure des Technologies des Systèmes Autonomes
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Allison Henrich ORCID Seattle University
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Duncan McCoy verified email Université du Québec à Montréal
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Massimo Sorella ORCID Chapman Fellow, Imperial College London
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Jonah Mendel verified email Rice University
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Richard Xuran Zhang ORCID Mathematics, Western University
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Juan Margalef-Bentabol ORCID Assistant professor (Mathematics), Université de Montréal
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Marco Trevisan Istituto "Tomaso Catullo"
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Rafael Andres Rosales Mitrowsky verified email Universidade de São Paulo
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Jerome Quintin ORCID Ecole de technologie superieure
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Antonio Moro ORCID Associate Professor, Northumbria University
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Michele Aleandri ORCID Reseacher Tenure Track, University of Florence
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Piotr Śniady ORCID Institute of Mathematics
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Sanyam Gupta University of Lille, PhD student
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Rafael Potrie ORCID Professor, Universidad de la República Uruguay
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Diana Gillooly ORCID Princeton University Press
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Prof. Dr. Gerald Warnecke Otto von Guericke University, Magdeburg, Germany, retired professor
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Cang Hui ORCID Professor, Stellenbosch University
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Hyun Kyu Kim ORCID Professor, Korea Institute for Advanced Study
Comment
Deep problems in mathematics should not be a testing ground for the ability of powerful AI models to come up with a solution. Mathematics is slow precisely because you must look deeply at a problem to determine non-intuitive links to other problems, which advances the interconnectedness and vastness of mathematics, and this will not be taken from us.