Certification of Machine Learning Applications in the Context of Trustworthy AI with Reference to the Standardisation of AI Systems

Abstract

We review the landscape of AI standards and certification and emphasise their role in the context of trustworthy AI. Third-party certification is a key service in building trust in AI and ML systems and supporting their operationalisation. We argue that certification should assess conformity to AI standards and characteristics of trustworthy AI, and, in addition, should be able to carry out conformity testing and evaluation of the components of an AI system. As a case study we look at ChatGPT, a large AI system which is attracting a lot of attention, and investigate its potential conformity to the principles of trustworthy AI.

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