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.