The ethical and societal implications of artificial intelligence systems are a general concern. Resolving the tension between incorporating the benefits and mitigating the potential harms of AI ensures that the outcomes of using AI systems is socially acceptable. A possible solution is to have AI systems be audited for harm by investigators. In this chapter, we introduce Z-inspection®, a reference and a process model for AI Ethical maintenance, to help monitor AI systems after deployment, preserve ethical principles, and ensure robustness, from both a technical and social perspective, within the context of given legal and contractual frameworks. We illustrate the benefits of AI ethical maintenance with a case study in healthcare.
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