A Mathematical Sciences Curriculum in the Age of AI

The rapid development of generative AI is transforming what it means

to study and apply mathematics and statistics. Tasks that were once

thought of as fundamental for the discipline, including symbolic

manipulation, computation, and even aspects of data analysis and

interpretation, can now be automated or simulated. This raises a

fundamental question: what is the purpose of a mathematics or

statistics degree in the age of AI, and how should this shape what and

how we teach?

In this workshop we will examine:

• What knowledge, skills, and habits of mind are still essential to the

mathematical sciences;?

• How should we be teaching, including the potential for AI to

support deeper mathematical learning, and how do we help

students develop productive, critical and ethical engagement with

AI?

This event aims to keep up momentum from the recent The Future of

Mathematics Higher Education event and produce concrete

recommendations for curriculum change.

This is joint proposal from UCL Mathematics and UCL Statistical

Science, coordinated by a group of staff from both departments.

For any enquiries, please get in touch with Professor Elinor Jones at:

[email protected].

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Host or Publisher University College London