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PExAI Events

PExAI (pron. PEH-kseh)- παίξε (v. παίζω) Greek word for play 

Predicting and Explaining with AI (PExAI) studies Machine Learning (ML) algorithms from the perspective of the philosophy of science, with the aim to establish a rigorous framework for the philosophical investigation of Artificial Intelligence (AI). 

Scope & information

2026-2028

University of Athens

Funded by the Hellenic Foundation for Research and Innovation

Advisory Board: 

Theodore Arabatzis, University of Athens

Craig Butts, University of Bristol

Emanuele Ratti, University of Bristol

Scope

The goal of PExAI is to demystify the role of AI in scientific progress by examining how it is used in chemistry for the prediction of new chemical substances and the explanation of novel reaction mechanisms.

The case study

IMPRESSION is the ML algorithm that will be used as the primary case study. It is currently developed at the University of Bristol under the leadership of Prof. Craig Butts. 

Objectives

  1. Offer an account of the predictive power of the ML algorithms that are used for the prediction of chemical substances.​

  2. Offer an account of the explanatory power of ML algorithms that are used for the production of new reaction mechanisms. ​

  3. Evaluate how ML algorithms in chemistry affect our idea of scientific progress.

Dissemination

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