Explainable AI Decision Support System for Green Hydrogen Production

Public university and research institution; spin-out creator and research host.

Law firm

National laboratory research

Public university and research institution; spin-out creator and research host.

The process used to produce green hydrogen by splitting water using electricity.

Frameworks and techniques aimed at making AI decisions understandable and auditable by humans, crucial for accountability and trust in autonomous systems.

AI processing of large diverse datasets in near-real time to identify optimal operating conditions by learning from seemingly contradictory data sources.

Scotland

United States

Collaboration at University of Aberdeen to develop an Explainable AI system to tackle production shortfalls in green hydrogen facilities.

Argonne National Laboratory research using AI to identify organic molecules suitable as liquids for hydrogen transportation, narrowing possibilities from 160 billion to 41 candidates.