SYNASC 2025

27th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

September 22-25, Timișoara, România

INVITED SPEAKER

Symbolic Computation, Standardisation, and the EU AI Act

James Davenport

University of Bath, UK

ABSTRACT

The EU AI Act is one of the most significant pieces of AI legislation in the world. This is accepted, even if reluctantly, by all in AI. What is not often realised is that this is written as product safety legislation, a point of view that is unfamiliar to many in AI.

Like other product safety legislation, it is written in fairly general terms, using words such as “unbiased”, leaving it to standards to describe what this actually means in detail. Again, this is unfamiliar to many in AI. We will therefore first look at the Act, and the European standardisation process. In particular, we will look at the various actors in this process.

Then we will ask what this has to do with Symbolic Computation: it is the general view that “Artificial Intelligence” as commonly understood, i.e. Machine Learning, has nothing to do with symbolic computation. “General”, but not “universal”. In fact, there is a community applying some of the tools of symbolic computation to prove (as opposed to claim, occasionally supported by statistics) facts about certain AI applications. In particular, this community asks, and partially answers, the “who shall verify the verifications” conundrum that the standard symbolic computation paradigm is also facing.

SHORT BIO

James Davenport did a PhD in computer algebra (integration) at Cambridge, then worked at IBM Research on what became Axiom. He also worked at Cambridge, Grenoble and Bath, and has been Hebron & Medlock Professor of Information Technology at Bath since 1986. His Grenoble lecture notes contributed to “Calcul Formel” with Yvonne Siret and Evelyne Tournier, translated into English and Russian. He has been associated with SYNASC since 2019, and was awarded an Honorary Doctorate by UVT in 2019.