Trustworthy AI Webinar – ASTRID – Advanced Software Tools for Reliable Industrial Datasets

In this webinar, we will learn about ASTRID (Advanced Software Tools for Reliable Industrial Datasets). ASTRID is an open-source, local-first tool developed under the ENFIELD Open Call to check industrial datasets before they are used to train AI models. We will see how it audits tabular, time-series and image data on five dimensions: quality, security, reliability, resilience to noise and outliers, and fairness. Each audit gives a health score from 0 to 100 with an A to E grade, PASS, WARNING or FAIL policy gates, a ranked list of fixes, and evidence reports mapped to the EU AI Act and ISO/IEC 25012. The session also explains how the tool is built, and how teams can run the checks interactively or as part of their pipelines.

Participation is free!

Date: 11 November 2026, 14:00-15:00 CET
Location: Online (Teams)
To register, you must fill in the following form by 11 November 2026 (13:00 CET).

Target audience

The target audience includes researchers, engineers, students, and professionals interested in the application of Trustworthy AI.

Speakers

Jorge Martinez Gil, Senior Research Scientist at Software Competence Center Hagenberg, Austria
Georgios Spathoulas, Associate Professor, NTNU, Norway

Program

Date 11 November 2026, 14:00-15:00 CET	Time	Presentations
	14:00 – 14:05	Webinar Opening
	14:05 – 14:45	Astrid Presentation
	14:45 – 17:00	Discussions, Q&A, Closing of the Webinar