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Marie SkÅ‚odowska-Curie Postdoctoral project, funded by Horizon Europe,  European Commission

University of Athens

2023- 2025

More info here

Aim

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, Athens

Craig Butts, Bristol

Emanuele Ratti, Bristol

Scope

The goal of PExAI is to demystify the role of AI in scientific progress by examining in detail how it is used via the application of ML algorithms 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. â€‹

  3. Evaluate how ML algorithms in chemistry affect our idea of scientific progress and how progress relates to the adherence of a scientific theory and the belief that the theory is true

Dissemination

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