We are a team of international researchers who created the Z-Inspection® Process to assess TrustworthyAI in practice.
Z-inspection® Trustworthy AI in practice
Z-Inspection® is a methodology for assessing the trustworthiness of AI systems.
It uses a holistic, participatory approach, incorporating ethical principles from the EU framework and other sources, and employing socio-technical scenarios to identify potential risks and ethical tensions.
The process involves assembling an interdisciplinary team, analyzing claims and evidence, and mapping issues to ethical principles.
Finally, Z-Inspection® offers recommendations for mitigating risks and promoting responsible AI development and deployment, with several case studies demonstrating its application.
Z-inspection® can be applied to a variety of domains such as business, healthcare, public sector, among many others. To the best of our knowledge, Z-inspection® is the first process to assess Trustworthy AI in practice.
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In relation to the EU AI Act, the methodology is expected to play a complementary role by supporting organisations beyond pre-deployment compliance requirements. In fact, while the AI Act places emphasis on ex ante impact assessments, Z-Inspection® can be applied after deployment, providing a valuable evaluation throughout the AI lifecycle. Moreover, the interviewed public officials highlighted its usefulness both for deepening understanding of AI Act requirements and for addressing ethical, legal, and organisational aspects that may not be fully covered by formal compliance procedures.
Mindful Use of AI — We are all responsible.
Frankfurt Creative AI Conference, Frankfurt Book Fair, Germany, October 18, 2019 .