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March 17, 2021IEEE Transactions on Technology and Society129 citationsOpen Access

Z-Inspection®: A Process to Assess Trustworthy AI

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RZRoberto V. ZicariJBJohn BrodersenJBJames Brusseau

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Abstract

The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection ® , to assess if an AI system is trustworthy. We use the definition of trustworthy AI given by the high-level European Commission's expert group on AI. Z-Inspection ® is a general inspection process that can be applied to a variety of domains where AI systems are used, such as business, healthcare, and 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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Zicari et al. (2021) studied this question.

synapsesocial.com/papers/6a0f052ab7cc3b883f22fc7ehttps://doi.org/10.1109/tts.2021.3066209
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