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Calls to action

8 of 25 sources have a recorded position.

Calls to action by source 8 recorded positions out of 25 sources. Filled markers indicate recorded positions; hollow markers mean not yet recorded. Source details follow the chart. Source Recorded Not yet recorded Arvind Narayanan and Sayash Kapoor Arvind Narayanan and Sayash Kapoor: no position recorded in the current review Brian Keating Brian Keating: no position recorded in the current review Conrad Wolfram Conrad Wolfram: Advocates curriculum reform centered on computational thinking for the AI age. Curt Jaimungal Curt Jaimungal: no position recorded in the current review David Bessis David Bessis: Urges mathematicians to speak now, anticipate disruption, and coordinate. Emily Riehl Emily Riehl: Proposes testing AI systems for meaningful mathematical contribution. Francis Su Francis Su: no position recorded in the current review Gary Marcus Gary Marcus: no position recorded in the current review Geordie Williamson Geordie Williamson: no position recorded in the current review Jacob Tsimerman Jacob Tsimerman: Calls for more independent AI-safety organizations, regulation, and government evaluations. Jaron Lanier Jaron Lanier: no position recorded in the current review Jeremy Avigad Jeremy Avigad: no position recorded in the current review Jordana Cepelewicz Jordana Cepelewicz: no position recorded in the current review Leiden Declaration Leiden Declaration: Sets collective governance and policy proposals for AI in mathematics. Math and AI Declaration Math and AI Declaration: no position recorded in the current review Max Weinreich Max Weinreich: Advocates total opposition to AI use in mathematics and coordinated institutional action. Sabine Hossenfelder Sabine Hossenfelder: no position recorded in the current review Sean Carroll Sean Carroll: no position recorded in the current review Stephen Wolfram Stephen Wolfram: Advocates combining generative AI with exact symbolic and numerical computation. Steven Strogatz Steven Strogatz: no position recorded in the current review Terence Tao Terence Tao: Recommends AI-use disclosures and new workflows and infrastructure for mathematics. The Economist The Economist: no position recorded in the current review Timothy Gowers Timothy Gowers: no position recorded in the current review Yahoo News Yahoo News: no position recorded in the current review Yann LeCun Yann LeCun: no position recorded in the current review

Recorded positions

David Bessis

Urges mathematicians to speak now, anticipate disruption, and coordinate.

Source used · Primary source verified; discusses jobs, hiring, and professional viability.

Emily Riehl

Proposes testing AI systems for meaningful mathematical contribution.

Source used · Existing review notes.

Stephen Wolfram

Advocates combining generative AI with exact symbolic and numerical computation.

Source used · Existing review notes; primary product page verified, but its navigation links are not a source-level employment claim.

Terence Tao

Recommends AI-use disclosures and new workflows and infrastructure for mathematics.

Source used · Primary arXiv full text verified; distinguishes research practice from explicit hiring and promotion consequences.

Jacob Tsimerman

Calls for more independent AI-safety organizations, regulation, and government evaluations.

Source used · Primary interview/report text verified; explicitly addresses career choice, academic employment, and trainees.

Max Weinreich

Advocates total opposition to AI use in mathematics and coordinated institutional action.

Source used · Primary arXiv abstract verified; institutional proposals are explicit, but no specific employment or career claim was captured.

Conrad Wolfram

Advocates curriculum reform centered on computational thinking for the AI age.

Source used · Existing review notes; direct page text was inaccessible during bounded verification.

Reading this chart

“Recorded” means an explicit position is captured in the current review. “Not yet recorded” means the review does not establish a position on this topic; it does not mean the source has no opinion. These are provisional source-level classifications, not judgments of people.

A call to action recommends something people or institutions should do, rather than merely predicting AI capabilities.

People and sources · Classification data