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Moving towards Trustworthy AI with a human-centric methodology

@Lakshya Pandit - Connect project in the sources
@Lakshya Pandit - Connect project in the sources

Trustworthy AI methodology developed and presented by Rupprecht Consult in recent events for AITHENA EU Horizon Project

In recent months, Rupprecht Consult has been actively showcasing key outputs from the EU HORIZON project AITHENA, which focuses on a Trustworthy AI methodology developed with a human-centric approach.

During the 'Workshop on Trustworthy AI' hosted by the CONNECT & REWIRE project at the House of Logistics and Mobility in Frankfurt on March 25-26, Dr. Lakshya Pandit represented Rupprecht as a speaker in the first panel on 'Trustworthiness Assessment of Data in CCAM'. The AITHENA methodology on Trustworthy AI was presented on the first day, followed by a workshop on the second day that highlighted the ongoing challenge of measuring Trustworthy AI.

Earlier, Rupprecht Consult also presented the methodology during AITHENA's 2nd Practitioners Workshop held virtually on February 26. This workshop is part of a series of annual practitioners' workshops aimed at engaging stakeholders and other interested parties through dedicated workshops and meetings in key areas of the AITHENA project. The main objective of this workshop was to present the AITHENA methodology for ensuring trustworthy AI, explore its real-world applications in CCAM systems, discuss GDPR principles, data anonymisation pipelines, and characterisation techniques in AI workflows, and demonstrate how the methodology is integrated and how the data anonymisation pipelines are applied based on AITHENA Use Cases 1 and 3.

Rupprecht Consult led the development of the methodology, detailed in the D1.1 deliverable, which introduces a set of checklists and guidelines tailored for developers and testers of CCAM functions, ensuring that the technologies developed are centred around human needs and adhere to rigorous ethical standards. It takes the first step in bringing qualitative measurability to Trustworthy AI through key elements of Fairness, Transparency, Accountability, and Privacy.


Related Projects

AIthena


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